Journals
Mechanical Engineering
Risk Management
Computer Science
Archives
International Journal of Automation Technology
ISSN : | 1881-7629(Print) / 1883-8022(Online) |
---|---|
DOI : | 10.20965/ijat.issn.1883-8022 |
Editors-in-Chief : | Mamoru Mitsuishi (Prof. Emeritus, The University of Tokyo) |
Deputy Editor-in-Chief : | Atsushi Matsubara (Kyoto University) |
Indexed in ESCI, Scopus, Compendex (Ei), DOAJ
TOPICS
2024-11-04T15:58:41+0000
Vol.18 (2024)
No.6
(Nov)
The Best Paper Award 2024
Special Issue on Design and Manufacturing for Environmental Sustainability NEW
The Best Paper Award 2024
Award: | pp. 731-733 | |
Congratulations! The Best Paper Award 2024 |
| |
Editorial Office | ||
The 15th Best Paper Award 2024 ceremony was held at Gakushikaikan, Tokyo, Japan, on September 20, 2024, attended by the winners and IJAT Editorial Committee members. The Best Paper was severely selected from among 58 papers published in Vol.17 (2023). The Best Paper Award winner received a certificate along with an honorarium of JPY100,000 (nearly US$1,000). We extend our heartfelt congratulations to the winners and sincerely wish them continued success in their future endeavors. Title: Study on a Novel Peeling of Nano-Particle (PNP) Process for Localized Material Removal on a 4H-SiC Surface by Controllable Magnetic Field Authors: Thitipat Permpatdechakul, Panart Khajornrungruang, Keisuke Suzuki, and Shotaro Kutomi Int. J. of Automation Technology, Vol.17 No.4 pp. 410-421, 2023 |
Special Issue on Design and Manufacturing for Environmental Sustainability
Editorial: | pp. 735-736 | |
Design and Manufacturing for Environmental Sustainability |
| |
Yuya Mitake and Yasushi Umeda | ||
This is the seventh special issue on Design and Manufacturing for Environmental Sustainability. As the first special issue on the topic was issued in 2009, the topic has a fifteen-year history in this journal. Environmental sustainability was recognized as important for manufacturing even at that time, which is why the special issue was started in this journal. The seriousness of this topic has been increasing not only in Europe but also in Japan and other countries. A recent critical trend has been the way in which companies’ attitudes toward this issue, including their positions on carbon neutrality, a circular economy, and biodiversity, determine their value. Furthermore, particularly striking trend is the promotion of various policies to realize a circular economy, including the adoption of international standards for a circular economy and new eco-design regulations in Europe. These movements indicate the need to transform production and consumption in society as a whole beyond the boundaries of individual companies and industries. The seventh special issue contains seven well-written papers. The papers cover the following topics: - Circular economy - Life cycle design and management - Environmentally conscious design of products and services - Low-energy and low-emission manufacturing - Closed-loop supply chain management - Sustainable consumption and production From the fifteen-year history of this special issue, we have been able to learn viewpoints specific to the series in this journal. Most of the papers, revised and enhanced in response to the editor’s invitation, were originally presented at EcoDesign 2023, the 13th International Symposium on Environmentally Conscious Design and Inverse Manufacturing, held in Nara, Japan. The editor sincerely thanks the authors and reviewers for their contributions in making this special issue possible. We hope that these articles encourage further research on design and manufacturing for environmental sustainability. |
Research Paper: | pp. 737-746 | ||
Exploring Differing Perspectives on Sustainability and Corresponding Strategies in German Automotive Companies |
|
||
Antonio Isopp, Marlon Philipp, Johannes Weyer, and Aaron Zilt |
Research Paper: | pp. 747-753 | ||
Time Framing and SDGs: Can Imaginary Future Generations Alter People’s Perceptions and Attitudes? |
|
||
Michinori Uwasu, Masashi Kuroda, Yukari Fuchigami, and Keishiro Hara |
Research Paper: | pp. 754-763 | ||
Robotics and Automation Roadmap: Thailand Perspectives |
|
||
Nathasit Gerdsri, Phoemsak Suksiri, Tunyawat Somjaitaweeporn, and Temsiri Sapsaman |
Research Paper: | pp. 764-773 | ||
Hybrid Simulation Model of Lifecycle Simulation and Replacement Simulation Considering Carbon Lock-In by Coal-Fired Power Plants |
|
||
Hidenori Murata, Ryusho Kitagawa, Yuji Toshihiro, and Hideki Kobayashi |
Research Paper: | pp. 774-785 | ||
A Method for Simulating an Information System with Life Cycle Simulation |
|
||
Tomoyuki Tamura, Ryota Odagaki, Yusuke Kishita, Yasushi Umeda, Gaku Miyake, Genichiro Matsuda, and Akio Tajima |
Research Paper: | pp. 786-793 | ||
Regional Comparison of Attachment Strategies for Designing Long-Life Products |
|
||
Takeru Ibi, Hidenori Murata, and Hideki Kobayashi |
Research Paper: | pp. 794-801 | ||
Analyzing Factors Influencing Customer Satisfaction with Organic Coffee in E-Commerce |
|
||
Yuna Seo |
Regular Papers
Research Paper: | pp. 803-811 | ||
Effects of Surface Treatment and Morphology on Static and Fatigue Strengths of Adhesively Bonded Steel Plate |
|
||
Shogo Takesue and Tatsuro Morita |
Technical Paper: | pp. 812-820 | ||
Cutting Tool Monitoring Technology Using Wireless Acoustic Emission Sensor |
|
||
Mizuki Uematsu, Kazuya Kato, Kota Watanabe, Tomoya Watanobe, and Wataru Natsu |
No.5
(Sep)
Special Issue on Advanced Three-Dimensional Digital Geometry Processing
Special Issue on Advanced Three-Dimensional Digital Geometry Processing
Editorial: | pp. 589-590 | |
Advanced Three-Dimensional Digital Geometry Processing |
| |
Yukie Nagai and Satoshi Kanai | ||
Geometry processing is a software technology that facilitates the appropriate and efficient conversion and processing of digital geometric data, including sampled points, curves, surfaces, images, and volumetric data, based on the intended application. It is a versatile technology and is increasingly adopted in diverse fields that rely on digital technologies and for the popularization of digital transition. Geometry processing is based on a robust and extensive mathematical framework that has been extensively investigated. As the scope of potential applications expands, the practical applications of these theories have increased accordingly. Geometry processing is currently employed for shape acquisition, analysis, design, and inspection in various fields, such as manufacturing, social infrastructure, medicine, natural science, and art. As the range of applications expands, several issues have emerged that require further investigation, such as increasing the accuracy and managing large-scale data. The objective of this special issue is to provide new insights into geometric-processing capabilities. This issue comprises five papers that present novel aspects of this technology and two comprehensive reviews pertaining to aesthetic curves and related topics, as well as the applications of X-ray computed tomography (CT) in manufacturing. The papers included in this issue are as follows: - Aesthetic curves and related geometries - Object recognition from laser-scanned point cloud - CAD data compression via wavelet transform - Application of structure-from-motion - Image analysis using Delaunay graphs - Surface extraction from X-ray CT scan data - Automation of manufacturing using X-ray CT scanning The data types and methods used for geometry processing are diverse and depend on the scenarios. In this issue, we present a diverse range of studies pertaining to geometry processing that encompasses both fundamental concepts and applied studies. We are grateful to all the contributors, reviewers, and editorial staff for their dedication and support in realizing this issue. |
Review: | pp. 591-602 | ||
Log-Aesthetic Curves and Similarity Geometry |
|
||
Kenjiro T. Miura and R. U. Gobithaasan |
Research Paper: | pp. 603-612 | ||
Ceiling Equipment Extraction from TLS Point Clouds for Reflected Ceiling Plan Creation |
|
||
Riho Akiyama, Hiroaki Date, Satoshi Kanai, and Kazushige Yasutake |
Research Paper: | pp. 613-620 | ||
Lossy Compression of Z-Map Based Shape Models Using Daubechies Wavelet Transform and Quickselect |
|
||
Nobuyuki Umezu and Masatomo Inui |
Research Paper: | pp. 621-631 | ||
Robustness of Structure from Motion Accuracy/Precision Against the Non-Optimality in Analysis Settings: Case Study in Constant-Pitch Flight Design |
|
||
Truc Thanh Ho, Ariyo Kanno, Yuji Matsuoka, Masahiko Sekine, Tsuyoshi Imai, Koichi Yamamoto, and Takaya Higuchi |
Research Paper: | pp. 632-650 | ||
Topological Delaunay Graph for Efficient 3D Binary Image Analysis |
|
||
Shin Yoshizawa, Takashi Michikawa, and Hideo Yokota |
Research Paper: | pp. 651-658 | ||
Surface Extraction by Accurate Fitting of Primitive Shapes to X-Ray Computed Tomography Scan Data |
|
||
Keita Matsunaga, Naoya Samata, Junta Kono, and Yukie Nagai |
Review: | pp. 659-669 | ||
Modeling Algorithms for Empowering Automated Manufacturing with Industrial X-Ray Computed Tomography |
|
||
Yukie Nagai |
Regular Papers
Research Paper: | pp. 671-678 | ||
Design and Analysis of Rehabilitation Evaluation System for Finger Rehabilitation Robot |
|
||
Guangda Lu, Xinlin Liu, Qiuyue Zhang, Zhuangzhuang Zhao, Runze Li, and Zheng Li |
Research Paper: | pp. 679-687 | ||
C-Space-Based Toolpath Generation for Five-Axis Controlled Machining with Special Tools |
|
||
Ken Okamoto and Koichi Morishige |
Research Paper: | pp. 688-701 | ||
Analysis of the Relationship Between Process Parameters and Microhardness for the Finishing Process by Wire Arc Additive Manufacturing Combined with the FSB Tool of Austenitic Stainless Steel 316L |
|
||
Teerayut Cordkaew, Jun’ichi Kaneko, and Takeyuki Abe |
Technical Paper: | pp. 702-711 | ||
Development of a Compression Test Method for Badminton Shuttlecock Feathers |
|
||
To Ming Terence Woo, Alex Kootsookos, and Firoz Alam |
Research Paper: | pp. 712-720 | ||
Design Optimization of Continuous Fiber Arrangement Using Lamination Parameters in Material Extrusion-Based Additive Manufacturing |
|
||
Koki Jimbo, Tohru Shitani, Satoshi Nakajima, and Shinya Morita |
No.4
(Jul)
Special Issue on Recent Advanced Manufacturing Science and Technology
Special Issue on Recent Advanced Manufacturing Science and Technology
Editorial: | pp. 461-462 | |
Recent Advanced Manufacturing Science and Technology |
| |
Takashi Matsumura and Norikazu Suzuki | ||
Recently, manufacturing technologies have progressed owing to high industrial demand. For example, in the automobile and aircraft industries, manufacturing processes require technologies that allow for high machining rates of lightweight and/or difficult-to-cut materials. Fabricating medical equipment involves the machining of biocompatible materials with high mechanical strength. Information devices require high-quality ultraprecision manufacturing processes. Furthermore, measurement and characterization technologies are also essential for manufacturing. Along with the evolution of manufacturing technologies, scientific studies have been performed on manufacturing phenomena and process control based on physical and/or mathematical aspects. This special issue was promoted by the International Conference on Leading Edge Manufacturing/Materials & Processing (LEM&P2023) held from June 12, 2023 to June 16, 2023 at Rutgers University in New Brunswick, sponsored by the Japan Society of Mechanical Engineers. This conference was co-located with the Manufacturing Science Engineering Conference (MSEC), ASME, and North American Manufacturing Research Conference (NAMRC), SME. This special issue includes nine papers that describe the innovations and detailed progress in the following areas: - Characterization of materials - Fundamental study and modeling of material removal process - Manufacturing control and optimization - Manufacturing processes for new hard materials - Micro-/Nano-scale manufacturing - Tool manufacturing and performance - Metrology and evaluation - Surface characterization This special issue includes technical and scientific discussions that suggest new key technologies for future manufacturing. We hope that this will help readers understand manufacturing processes and improve their operations. We thank the authors and reviewers for their generous cooperation and the editing staff for their contributions. |
Research Paper: | pp. 463-471 | ||
Continuous Representation of Machining Processes Using 4-Dimensional Geometric Models –Cutter-Workpiece Engagement Analysis and Processing Surface Estimation in Spatio-Temporal Space— |
|
||
Tong Zhang, Masahiko Onosato, and Fumiki Tanaka |
Research Paper: | pp. 472-482 | ||
Influence of Pilot Hole and Work Material Hardness on Thread Milling with a Wireless Holder System |
|
||
Shota Matsui, Nobutoshi Ozaki, Toshiki Hirogaki, Eiichi Aoyama, and Ryo Matsuda |
Research Paper: | pp. 483-492 | ||
Initial Wear of Fixed Diamond Wire Tool –Effect of Slurry Assisted Slicing on Machining Mechanism— |
|
||
Shinya Moriyama, Takanori Yazawa, Tatsuki Otsubo, and Koichiro Harada |
Research Paper: | pp. 493-502 | ||
Tool Path Design of Metal Powder Extrusion in Additive Manufacturing for Suppressing Shape Error Caused During Sintering |
|
||
Tomoya Suzuki and Toshitake Tateno |
Research Paper: | pp. 503-512 | ||
Effect of Different Feed Rates on Chip Evacuation in Drilling of Lead-Free Brass with a Small-Diameter Drill |
|
||
Tadaaki Naruki, Kenichi Suzuki, Hideharu Kato, Shigehiko Sakamoto, Masahiro Seto, Jin Katayama, and Takayuki Oka |
Research Paper: | pp. 513-520 | ||
Prototype of Parallel Plate Type Fast Atom Beam Source and its Improvement of Irradiation Characteristics |
|
||
Taisei Kato, Ryo Morisaki, Takahiro Yamazaki, Chiemi Oka, Junpei Sakurai, and Seiichi Hata |
Research Paper: | pp. 521-527 | ||
Fabrication of Rose Petal Surface Using Release-Coated UV-Curable Resin via Ultraviolet Nanoimprint Lithography |
|
||
Takuto Wakasa, Kazuki Fujiwara, and Jun Taniguchi |
Research Paper: | pp. 528-536 | ||
Effect of Noise on Accuracy of Grain Size Evaluation by Magnetic Barkhausen Noise Analysis |
|
||
Kanna Omae, Takahiro Yamazaki, Kohya Sano, Chiemi Oka, Junpei Sakurai, and Seiichi Hata |
Research Paper: | pp. 537-543 | ||
Scrap Float Detection in a Blanking Die Set with Multiple Retrofit Accelerometers Using the Mahalanobis–Taguchi System |
|
||
Takahiro Ohashi |
Regular Papers
Review: | pp. 545-580 | ||
Advanced Sensing and Machine Learning Technologies for Intelligent Measurement in Smart and Precision Manufacturing |
|
||
Ryo Sato, Kuangyi Li, Masaki Michihata, Satoru Takahashi, and Wei Gao |
No.3
(May)
Special Issue on Advanced Metal Cutting Technologies
Special Issue on Advanced Metal Cutting Technologies
Editorial: | p. 331 | |
Advanced Metal Cutting Technologies |
| |
Hiroyuki Sasahara and Takashi Matsumura | ||
Cutting technologies are utilized in many industrial sectors, such as automobile, aircraft, and medical-device manufacturing as well as dies and molds. Thus, the requirements for higher geometric accuracy, better surface integrity, and longer component service lifetimes have substantially increased. In addition, maintaining high machining efficiency while simultaneously reducing power consumption and CO2 emissions during machining is important for sustainable development. This special issue features 11 papers on the most recent advances in cutting technologies for metals and composite materials. - Reverse finishing characteristics of drilling surfaces - Machining error simulation for end milling - Visualization of cutting phenomena using a single-crystal diamond tool - Milling of TiB2 particle-reinforced high-modulus steel - Electrodischarge-assisted turning of carbon fiber-reinforced polymers - Suppression of chatter vibration during double-insert turning - Prediction of surface roughness components during turning - Microtome blades for high-precision tissue sectioning - Boiling of coolant near the cutting edge in high-speed machining - Residual stress during drilling of aluminum alloy - Effect of strain hardening on burr control during drilling This issue provides an understanding of recent developments in cutting technologies, aiming to inspire further research in this field. We deeply appreciate the careful work of all the authors and thank the reviewers for their diligent efforts. |
Research Paper: | pp. 332-341 | ||
Influence of Reverse Finishing on Characteristics of Drilling Surface |
|
||
Yuzuha Ochi, Masatoshi Usui, and Hiroyuki Sasahara |
Research Paper: | pp. 342-351 | ||
Practical Method for Identifying Model Parameters for Machining Error Simulation in End Milling Through Sensor-Less Monitoring and On-Machine Measurement |
|
||
Kazuki Kaneko, Arisa Kudo, Takanori Waizumi, Jun Shimizu, Libo Zhou, Hirotaka Ojima, and Teppei Onuki |
Research Paper: | pp. 352-357 | ||
Development of Machining Device with Real-Time Visualization of Boundary Surface on Tool Rake Face and Cutting Chip |
|
||
Masahiro Hagino |
Research Paper: | pp. 358-365 | ||
Milling of TiBbm2 Particle Reinforced High-Modulus Steel |
|
||
Hideharu Kato, Kazuya Matsumoto, Yukio Ito, Shigehiko Sakamoto, and Hitoshi Sumiya |
Research Paper: | pp. 366-373 | ||
Electrical Discharge-Assisted Turning for UD CFRP Under Low Voltage Condition |
|
||
Hidetake Tanaka and Ryuta Kuboshima |
Research Paper: | pp. 374-381 | ||
Inner Modulation Controlled Process for Suppression of Chatter Vibration in Double Inserts Turning |
|
||
Toshifumi Atsuta, Hidenori Yoshimura, and Takashi Matsumura |
Research Paper: | pp. 382-389 | ||
Prediction of Surface Roughness Components in Turning with Single Point Tool—Measurement of Tool Edge Contour and Prediction of its Position During Cutting— |
|
||
Ryo Sakamoto, Ryutaro Tanaka, Isaí Espinoza Torres, Israel Martínez Ramírez, Katsuhiko Sekiya, and Keiji Yamada |
Research Paper: | pp. 390-399 | ||
Durability Test of Microtome Blades with the High-Precision Tissue-Sectioning Machine |
|
||
Hirotaka Satoh, Keito Nakamae, Takehiro Sasaki, Hiroshi Nanjo, Ryuta Nakamura, Takayuki Kusumi, Yoichi Akagami, and Masahiko Yoshino |
Research Paper: | pp. 400-405 | ||
Boiling of Coolant Near the Cutting Edge in High Speed Machining of Difficult-to-Cut Materials |
|
||
Toshiyuki Obikawa, Wataru Matsumoto, Mamoru Hayashi, and Chikara Morigo |
Research Paper: | pp. 406-416 | ||
Evaluation Approach for Residual Stress in Drilling of Aluminum Alloy |
|
||
Takashi Matsumura, Yusuke Akao, and Shoichi Tamura |
Research Paper: | pp. 417-425 | ||
Effect of Strain Hardening on Burr Control in Drilling of Austenitic Stainless Steel |
|
||
Shoichi Tamura, Kota Okamura, Daisuke Uetake, and Takashi Matsumura |
Regular Papers
Letter: | pp. 427-432 | ||
Bilateral Half-Box Image Filtering |
|
||
Miku Fukatsu, Shin Yoshizawa, Hiroshi Takemura, and Hideo Yokota |
Research Paper: | pp. 433-443 | ||
Feasibility Study of Single-Point Incremental Forming for Discontinuous-Fiber CFRP Using Oil-Bath Heating |
|
||
Tatsuki Ikari and Hidetake Tanaka |
Research Paper: | pp. 444-452 | ||
Improving Machined Accuracy Under a Constant Feed Speed Vector at the End-Milling Point by Estimating Machining Force in Tool Approach |
|
||
Takamaru Suzuki, Toshiki Hirogaki, and Eiichi Aoyama |
No.2
(Mar)
Special Issue on Abrasive Technology for High-Precision and High-Efficiency Machining of High-Performance Materials
Special Issue on Abrasive Technology for High-Precision and High-Efficiency Machining of High-Performance Materials
Editorial: | pp. 159-160 | |
Abrasive Technology for High-Precision and High-Efficiency Machining of High-Performance Materials |
| |
Hirofumi Suzuki, Minoru Ota, Hiroyuki Kodama, and Tatsuya Furuki | ||
The demand for high-precision and high-efficient machining of high-performance materials and components has increased in various industries such as optical, automotive, communication, life sciences, and medical sciences. Certain difficult-to-machine materials can be reliably machined using deterministic precision cutting processes. However, hard and brittle materials such as ceramics, carbides, hardened steel molds, glassy materials, or semiconductor materials, require precision abrasive technologies with super abrasives like diamond, cBN, or new tool materials for machining. However, machining high-precision components and their molds/dies using abrasive processes is considerably more difficult due to their complex and non-deterministic nature and textured surfaces. Furthermore, high-energy processes such as laser technology can assist abrasive technologies in ensuring higher precision and efficiency. Precision grinding and polishing processes are primarily used to generate high-quality and functional components, typically made of difficult-to-machine materials. Thus, the surface quality achievable by precision grinding and polishing processes becomes more important for reducing machining time and costs. This special issue features 10 papers on the most recent advances in precision abrasive technologies. These papers cover the following topics: - Ultrasonic grinding of micro holes using cemented WC tools - Drilling holes in CFRP aircraft using cBN electroplated ball end mill - In situ evaluation of drill wear using tool images - Grinding belt based on modified information entropy - Radial directional vibration-assisted grinding of Al2O3 ceramics - Chatter vibration suppression using fixed superabrasive polishing stone - Free abrasive finishing of internal channels with different cross-sectional geometries - High-quality machining of cemented carbide using PCD ball end mills - Fixed-abrasive machining with magnetic brush for Ti-6Al-4V ELI alloy - High-efficient polishing of polymer surfaces using catalyst-referred etching This ...<more> |
Research Paper: | pp. 161-168 | ||
Ultrasonic-Assisted Grinding of Microholes Using Ultrasmall-Diameter Cemented WC Tools |
|
||
Kai Egashira, Ryota Honda, Keishi Yamaguchi, and Minoru Ota |
Research Paper: | pp. 169-180 | ||
Investigation of Drilling Holes in CFRP for Aircraft Using cBN Electroplated Ball End Mill Using Helical Interpolation Motion |
|
||
Sora Hamamoto, Toshiki Hirogaki, Eiichi Aoyama, Kazuna Fujiwara, and Masashi Taketani |
Technical Paper: | pp. 181-188 | ||
In Situ Evaluation of Drill Wear Using Tool Image Captured on Machining Center |
|
||
Tatsuya Furuki, Tomoki Nagai, Koichi Nishigaki, Takashi Suda, and Hiroyuki Kousaka |
Research Paper: | pp. 189-197 | ||
Evaluation of Abrasive Grain Distribution of the Grinding Belt Based on Modified Information Entropy |
|
||
Yasutake Haramiishi and Tsuyoshi Shimizu |
Research Paper: | pp. 198-205 | ||
Effect of Radial Directional Vibration-Assisted Ductile-Mode Grinding of Al2O3 Ceramics |
|
||
Kenichiro Imai |
Technical Paper: | pp. 206-215 | ||
Study on Temporary Unloading for Chatter Vibration Suppression Using Fixed Superabrasive Polishing Stone with Five-Joint Closed-Link Small Robot and Voice Coil Motor Thrust Control |
|
||
Yuki Manabe, Taichi Yamamoto, Taichi Ueda, Toshiki Hirogaki, and Eiichi Aoyama |
Research Paper: | pp. 216-224 | ||
Finishing Characteristics with Free Abrasive Grains and Cooling Performance of Internal Channels with Different Cross-Sectional Geometries |
|
||
Mitsugu Yamaguchi, Kotaro Kushima, Shuuji Inagaki, Masao Tsuji, and Tatsuaki Furumoto |
Research Paper: | pp. 225-231 | ||
Influence of Abrasive Grain Protrusion on High-Quality Machining of Cemented Carbide Using PCD Ball End Mills |
|
||
Kazutoshi Katahira and Shinya Morita |
Research Paper: | pp. 232-239 | ||
Experimental Investigation of a Fixed-Abrasive Machining with Magnetic Brush for Ti-6Al-4V ELI Alloy |
|
||
Ryunosuke Sato, Yanhua Zou, and Taiki Koma |
Research Paper: | pp. 240-247 | ||
High-Efficiency Polishing of Polymer Surface Using Catalyst-Referred Etching |
|
||
Daisetsu Toh, Kodai Takeda, Kiyoto Kayao, Yuji Ohkubo, Kazuto Yamauchi, and Yasuhisa Sano |
Regular Papers
Research Paper: | pp. 249-256 | ||
Design of an Optical Head with Two Phase-Shifted Interference Signals for Direction Detection of Small Displacement in an Absolute Surface Encoder |
|
||
Ryo Sato, Tao Liu, Satoru Maehara, Ryota Okimura, Hiraku Matsukuma, and Wei Gao |
Research Paper: | pp. 257-264 | ||
Drive Characteristics of Air-Cylinder-Type Artificial Muscle in Annular Bending |
|
||
Tatsuhiro Hiramitsu, Yuuki Miyake, Hiroaki Seki, and Tokuo Tsuji |
Research Paper: | pp. 265-275 | ||
Automatic Characterization of WEDM Single Craters Through AI Based Object Detection |
|
||
Eduardo Gonzalez-Sanchez, Davide Saccardo, Paulo Borges Esteves, Michal Kuffa, and Konrad Wegener |
Research Paper: | pp. 276-286 | ||
Effects of Mosquito-Imitated Microneedle’s Reciprocating Rotations on Puncture Resistance Forces—Evaluations by Puncturing Experiments and Nonlinear FEM Analyses— |
|
||
Akira Mizutsu, Yuki Okumura, Atsushi Ueda, Shunki Yamamoto, Tomokazu Takahashi, Masato Suzuki, Seiji Aoyagi, Toshio Nagashima, Makoto Chiyonobu, Hideki Nishikawa, Fumio Sudo, Toshiyuki Ohdaira, and Satoshi Seshimo |
Research Paper: | pp. 287-294 | ||
Leaf Reconstruction Based on Gaussian Mixture Model from Point Clouds of Leaf Boundaries and Veins |
|
||
Yukie Nagai and Hikaru Tanaya |
Research Paper: | pp. 295-301 | ||
Compliant Control Technology of Manipulator |
|
||
Xuan Wang, Guodong Li, Hua Yu, and Zhigang Xue |
Research Paper: | pp. 302-315 | ||
Unsupervised Anomaly Detection for IoT-Driven Multivariate Time Series on Moringa Leaf Extraction |
|
||
Kurnianingsih, Retno Widyowati, Achmad Fahrul Aji, Eri Sato-Shimokawara, Takenori Obo, and Naoyuki Kubota |
Research Paper: | pp. 316-322 | ||
Energy Balanced Self-Organizing Networks Algorithm for Three-Dimensional Internet of Things |
|
||
Amin Suharjono |
No.1
(Jan)
Special Issue on On-Machine and In-Process Measurement for Smart and Precision Manufacturing
Special Issue on On-Machine and In-Process Measurement for Smart and Precision Manufacturing
Editorial: | p. 3 | |
On-Machine and In-Process Measurement for Smart and Precision Manufacturing |
| |
Yasuhiro Takaya and Wei Gao | ||
The Internet of Things is playing an important role, organizing all things that use data and connecting them to the Internet. It has been made possible by the rapid progress in smart and real-time measurement technologies, the miniaturization and speeding up of sensor technologies as well as intelligent data processors, and by the spread of cloud technology, which accumulates huge amounts of data. To establish smart and precision manufacturing, not only the improvement of conventional ultraprecision machining techniques but also the development of the novel, high-performance machining techniques has been made. On-machine and in-process measurement are gaining in importance for emerging machining technologies as well as conventional ones. Advanced techniques of machining and metrology as well as feedback for compensation manufacturing have been required for plasticity to on-machine and in-process conditions. This special issue focuses on metrology and manufacturing measurement and instrumentation for the progress of state-of-the-art on-machine and in-process measurement systems and sensor technologies. It consists of contributions related to, but not limited to, the following topics: - On-machine, in-process measurement and process monitoring - Practical application of on-machine, in-process measurement - Machine tool metrology - Intelligent micro- and nano-metrology - Multi-sensor fusion and multi-sensor cooperation - Form and dimensional measurement and instrumentation - 3D-surface texture and its micro-characteristics - Machine learning, AI aided measurement We would like to sincerely thank all the authors for their contributions, and we sincerely hope that the papers in this special issue further contribute to the development of our future society from a new horizon of metrology. |
Research Paper: | pp. 4-10 | ||
On-Machine Calibration of Pitch Deviations of a Linear Scale Grating by Using a Differential Angle Sensor |
|
||
Jiucheng Wu, Yifang Hong, Dong Wook Shin, Ryo Sato, Lue Quan, Hiraku Matsukuma, and Wei Gao |
Research Paper: | pp. 11-17 | ||
Diameter Measurement for Micro-Spheres via Coherent Scanning Interferometry with Reference to Gauge Block |
|
||
Masaki Michihata, Shotaro Kadoya, and Satoru Takahashi |
Research Paper: | pp. 18-25 | ||
A Technique for Estimating the Pitch of Interference Fringe Patterns for Pattern Exposure in a Non-Orthogonal One-Axis Lloyd’s Mirror Interferometer |
|
||
Nozomu Takahiro and Yuki Shimizu |
Research Paper: | pp. 26-38 | ||
Machine-Learning-Based Model Parameter Identification for Cutting Force Estimation |
|
||
Junichi Kouguchi, Shingo Tajima, and Hayato Yoshioka |
Research Paper: | pp. 39-46 | ||
High-Precision Grinding of Thin and Large Optical Workpieces with the Kinematic Support |
|
||
Takeshi Hashigaya, Masaru Kino, Keisuke Takahashi, and Mikio Kurita |
Research Paper: | pp. 47-57 | ||
Experimental In-Situ Observatory on Brownian Motion Behavior of 105 nm Sized Silica Particles During Chemical Mechanical Polishing of 4H-SiC by an Evanescent Field |
|
||
Thitipat Permpatdechakul, Panart Khajornrungruang, Keisuke Suzuki, Aran Blattler, and Jiraphan Inthiam |
Research Paper: | pp. 58-65 | ||
Shock Wave Detection for In-Process Depth Measurement in Laser Ablation Using a Photonic Nanojet |
|
||
Tsutomu Uenohara, Makoto Yasuda, Yasuhiro Mizutani, and Yasuhiro Takaya |
Research Paper: | pp. 66-76 | ||
Measurement of a Freeform Surface by Dragging Three Point Method Along with a Circular Path |
|
||
Kento Tokuchi, Mikio Kurita, and Keisuke Takahashi |
Research Paper: | pp. 77-83 | ||
Roundness Profile Measurement Using a Combination Method of Three-Point Method for Roundness Profile Measurement and Integration Method for Straightness Profile Measurement |
|
||
Eiki Okuyama and Takato Fukuda |
Research Paper: | pp. 84-91 | ||
Repetition Frequency Control of a Mid-Infrared Ultrashort Pulse Laser |
|
||
Hiraku Matsukuma, Masashi Nagaoka, Hisashi Hirose, Ryo Sato, Yuki Shimizu, and Wei Gao |
Research Paper: | pp. 92-103 | ||
Phase Retrieval Algorithm for Surface Topography Measurement Using Multi-Wavelength Scattering Spectroscopy |
|
||
Satoshi Itakura, Tsutomu Uenohara, Yasuhiro Mizutani, and Yasuhiro Takaya |
Technical Paper: | pp. 104-111 | ||
Measurement and Control of Body Pressure Towards Smart Bed System |
|
||
Jun Ito and Shin Usuki |
Regular Papers
Research Paper: | pp. 113-127 | ||
Designing a Model Predictive Controller for Displacement Control of Axial Piston Pump |
|
||
Tsuyoshi Yamada, Ryo Inada, and Kazuhisa Ito |
Research Paper: | pp. 128-134 | ||
Fundamental Study of Press Molding Method for CFRP Preform Using a 3D Printer |
|
||
Hidetake Tanaka, Yuuki Nishimura, Tatsuki Ikari, and Emir Yilmaz |
Research Paper: | pp. 135-145 | ||
A Discrete-Event Simulation Study of Multi-Objective Sales and Operation Planning Under Demand Uncertainty: A Case of the Ethiopian Automotive Industry |
|
||
Yigedeb Abay, Toshiya Kaihara, and Daisuke Kokuryo |
Vol.17 (2023)
No.6
(Nov)
The Best Paper Award 2023 and The Best Review Award 2023
Special Issue on Recent Progress in Precision Engineering
The Best Paper Award 2023 and The Best Review Award 2023
Award: | pp. 547-550 | |
Congratulations! The Best Paper Award 2023 and The Best Review Award 2023 |
| |
Editorial Office |
Special Issue on Recent Progress in Precision Engineering
Editorial: | p. 551 | |
Recent Progress in Precision Engineering |
| |
Toshiyuki Enomoto and Tatsuya Sugihara | ||
In recent years, the field of manufacturing has become increasingly diversified and complex to meet various requirements, such as improved manufacturing accuracy, productivity, environmental friendliness, and automation/intelligence in manufacturing sites. Consequently, the fusion of different fields as well as interdisciplinary research has become indispensable for the creation of innovative manufacturing technologies that can realize advanced production systems. This special issue comprises seven outstanding research papers that focus on advanced precision engineering in manufacturing systems, covering the following topics: - Advanced cutting technologies - Advanced machine tools and elements - Surface finishing technologies - Non-traditional machining and additive manufacturing - Nano-scale surface finishing - Advanced surface processing All research papers were originally presented at the 19th International Conference on Precision Engineering (ICPE2022), held in Nara, Japan, in 2022. The editors hope that the research papers included in this special issue will offer valuable insights to readers for their future research in the field of manufacturing technology. Each paper underwent a rigorous peer-review process, and the editors would like to express their deep appreciation for the efforts and excellent work of all the authors and anonymous reviewers who contributed to the realization of this special issue. Finally, it is our sincere hope that the papers in this special issue will further contribute to the advancement of our future society. |
Research Paper: | pp. 552-563 | ||
Investigation of the Influence of Built-Up Layer on the Stress State in the Primary Shear Zone Using Particle Image Velocimetry Analysis |
|
||
Xiaoqi Song, Kenji Suzuki, Weiming He, and Tohru Ihara |
Research Paper: | pp. 564-574 | ||
Estimation of Hardness and Residual Stress on End-Milled Surfaces Using Linear Regression Model |
|
||
Hideyuki Fujii, Yukio Takahashi, Jiei Hodohara, Norikazu Suzuki, Yuki Yamada, Yasuhiro Imabeppu, and Naruhiro Irino |
Research Paper: | pp. 575-582 | ||
Organosilicon-Based Thin Film Formation in Very High-Frequency Plasma Under Atmospheric Pressure |
|
||
Afif Hamzens, Kento Kitamura, Shota Mochizuki, Leapheng Uon, Hiromasa Ohmi, and Hiroaki Kakiuchi |
Research Paper: | pp. 583-593 | ||
Effect of Pulse Conditions on Machining Characteristics in Bipolar-Pulse Electrochemical Machining of Cemented Carbide |
|
||
Tomohiro Koyano, Taisei Hokin, and Tatsuaki Furumoto |
Research Paper: | pp. 594-602 | ||
Development of Additive Printing System Using Slant Direct-Drive Parallel Mechanism |
|
||
Ryosuke Tawara, Chiaki Tanuma, and Yutaka Tanaka |
Research Paper: | pp. 603-609 | ||
Fabrication of Nano- and Micro-Structured PPy Electrode and its Application to Electroporation to Cell |
|
||
Saki Amaki, Yohei Kato, Tomomi Sudo, Takahiro Kono, and Arata Kaneko |
Research Paper: | pp. 610-618 | ||
Detection of Multiscale Deterioration from Point-Clouds of Furnace Walls |
|
||
Tomoko Aoki, Erika Yamamoto, and Hiroshi Masuda |
Regular Papers
Research Paper: | pp. 619-626 | ||
Automated Process Planning System for Machining Injection Molding Dies Using CAD Models of Product Shapes in STL Format |
|
||
Isamu Nishida, Eiki Yamada, and Hidenori Nakatsuji |
Research Paper: | pp. 627-633 | ||
Simple Contact Sensor for Material on Die in Sheet Hydroforming |
|
||
Minoru Yamashita, Nozomi Minowa, and Makoto Nikawa |
No.5
(Sep)
Special Issue on the Latest Machine Tool and Manufacturing Technologies
Special Issue on the Latest Machine Tool and Manufacturing Technologies
Editorial: | p. 433 | |
the Latest Machine Tool and Manufacturing Technologies |
| |
Hayato Yoshioka | ||
The social demands for manufacturing systems are constantly changing with the times. In recent years, environmental and social issues have been complicating these demands. For example, all industrial sectors need to consider environmentally responsible ways to achieve sustainable development goals in a time of paradigm shifts. The demands in the manufacturing field include high productivity, high quality, low energy consumption, and help for aging operators. To meet these various demands for manufacturing systems, we must create innovative manufacturing technologies to realize advanced production systems. This special issue focuses on state-of-the-art machine tools and manufacturing technologies to accelerate production engineering innovation. This issue consists of eleven research papers covering the following fields. - Advanced structure and drive systems in machine tools - Industrial robot applications - Advanced cutting technologies - Evaluation and calibration technologies of motion error - Surface finishing technologies - Grinding of hard and brittle materials All of these research contributions were presented at IMEC2022, a joint event with JIMTOF2022, held in Tokyo, Japan in 2022. I would like to sincerely thank all the authors for their contributions, and I sincerely hope that the papers in this special issue further contribute to the development of our future society. |
Research Paper: | pp. 434-448 | ||
Effect of Vibration Behavior in Low-Frequency Vibration Cutting on Surface Properties of Workpiece |
|
||
Hiroyuki Kodama, Shota Matsuno, Naoyuki Shibata, and Kazuhito Ohashi |
Research Paper: | pp. 449-457 | ||
Anomalous Change Detection in Drilling Process Using Variational Autoencoder with Temperature Near Drill Edge |
|
||
Haruhiko Suwa, Kazuya Oda, and Koji Murakami |
Research Paper: | pp. 458-468 | ||
Study on the Surface Enhancement of Thin-Walled Metallic Materials Using a Novel Double-Side Burnishing Tool |
|
||
Hibiki Yamazaki, Jiang Zhu, and Tomohisa Tanaka |
Research Paper: | pp. 469-476 | ||
Shell Forming for Improving Additional Cutting Properties of Additively Manufactured Parts |
|
||
Hiroshi Sawano and Yasuhiro Kodama |
Research Paper: | pp. 477-485 | ||
Feasibility of 8-Shaped Motion Test for Five-Axis Machining Center |
|
||
Yukitoshi Ihara, Souma Kajino, and Yuto Inoue |
Research Paper: | pp. 486-493 | ||
Simple Measuring of Positioning Accuracy for Machining Centers Using Image Matching |
|
||
Akinori Saito and Yoji Jimba |
Research Paper: | pp. 494-503 | ||
Posture Optimization in Robot Machining with Kinematic Redundancy for High-Precision Positioning |
|
||
Shingo Tajima, Satoshi Iwamoto, and Hayato Yoshioka |
Research Paper: | pp. 504-511 | ||
On Thermal Positioning Error of a Planar Robot Arm over Entire Workspace |
|
||
Soichi Ibaraki and Kandai Kawano |
Research Paper: | pp. 512-520 | ||
Temperature Control Performance of a Built-In Motor Spindle by Developed Temperature Feedback Control System |
|
||
Shumon Wakiya, Ryota Ishida, Jumpei Kusuyama, and Yohichi Nakao |
Research Paper: | pp. 521-528 | ||
Effects of Temperature and Relative Humidity on Crack Propagation Behavior During Wheel Scribing of Alkali-Free Glass Sheet |
|
||
Ryota Someno, Kentaro Imai, Yuichiro Matsumoto, Souta Matsusaka, Sho Itoh, Hirofumi Hidai, Akira Chiba, and Noboru Morita |
Research Paper: | pp. 529-535 | ||
A Study of Depth of Cut and Wear in Precision Grinding of CVD-SiC |
|
||
Fengmin Ji, Kentaro Imai, and Weimin Lin |
No.4
(Jul)
Special Issue on Recent Trends in Additive Manufacturing
Special Issue on Recent Trends in Additive Manufacturing
Editorial: | p. 325 | |
Recent Trends in Additive Manufacturing |
| |
Tatsuaki Furumoto and Hiroyuki Sasahara | ||
Additive manufacturing (AM) has undergone rapid development in the past decade. Owing to its capacity to produce complex and functional parts in various industries, it has been recognized as a remarkable scientific and industrial technique. It is used to enhance weight-saving production and reduce the number of parts, with metal-based AM techniques in particular being recognized as the most promising AM techniques developed thus far. This is because of their high potential for direct production through the selective solidification of metal materials from three-dimensional, computer-aided design data. The medical, aerospace, and part molding industries are some of the many expected to reap particular benefit from the ability to produce high-quality models with reduced manufacturing costs and lead times. The objective of this special issue is to collect recent research works focused on recent trends in AM. This issue includes 7 papers covering the following topics: - Metal-based powder bed fusion using a laser beam (PBF-LB/M) - Wire and arc-based AM (WAAM) - Fused deposition modeling (FDM) This special issue is expected to help readers understand the recent trends in AM, leading in turn to further research on AM. We deeply appreciate the contributions of all authors and thank the reviewers for their incisive efforts. |
Research Paper: | pp. 326-334 | ||
Effect of FDM Processing Conditions on Snap-Fit Characteristic in Assembly |
|
||
Hiroyuki Taguchi, Yohei Kunimatsu, and Hiroyuki Narahara |
Research Paper: | pp. 335-345 | ||
Experimental Investigation of Spatter Particle Behavior and Improvement in Build Quality in PBF-LB |
|
||
Mitsuyoshi Yoshida, Tatsuaki Furumoto, Kazuaki Sakuma, Kai Kawasaki, and Kazuyuki Itagaki |
Research Paper: | pp. 346-355 | ||
Influence of Oxygen Concentration in Building Environment and Oxidation Extent of Maraging Steel on Spatter Generation Behavior in Powder Bed Fusion |
|
||
Mitsugu Yamaguchi, Kotaro Tsubouchi, Asako Kamimoto, Shinnosuke Yamada, Kenji Sugiyama, and Tatsuaki Furumoto |
Research Paper: | pp. 356-368 | ||
Process Planning with Removal of Melting Penetration and Temper Colors in 5-Axis Hybrid Additive and Subtractive Manufacturing |
|
||
Akira Nishiyama, Shun Kayashima, Nobuyuki Sumi, Takashi Hashimoto, Takeyuki Abe, and Jun’ichi Kaneko |
Research Paper: | pp. 369-377 | ||
Study on Laser Scan Strategy for Correcting Anisotropic Residual Stress Distribution and Reducing Warpage in Structures Fabricated by PBF-LB/M |
|
||
Atsushi Ezura, Satoshi Abe, Tatsuaki Furumoto, Toshihiko Sasaki, and Jiro Sakamoto |
Technical Paper: | pp. 378-387 | ||
Technique for Introducing Internal Defects with Arbitrary Sizes and Locations in Metals via Additive Manufacturing and Evaluation of Fatigue Properties |
|
||
Kazuyuki Morishita, Taichi Yamaguchi, Kentaro Wada, and Junichiro Yamabe |
Technical Paper: | pp. 388-397 | ||
Advantages of Injection Mold with Hybrid Process of Metal Powder Bed Fusion and Subtractive Process |
|
||
Satoshi Abe, Seiichi Uemoto, and Masanori Morimoto |
Regular Papers
Research Paper: | pp. 399-409 | ||
Manipulation Planning for Wiring Connector-Attached Cables Considering Linear Object’s Deformability |
|
||
Kyoto Nozaki, Changjian Ying, Yuichiro Matsuura, and Kimitoshi Yamazaki |
Research Paper: | pp. 410-421 | ||
Study on a Novel Peeling of Nano-Particle (PNP) Process for Localized Material Removal on a 4H-SiC Surface by Controllable Magnetic Field |
|
||
Thitipat Permpatdechakul, Panart Khajornrungruang, Keisuke Suzuki, and Shotaro Kutomi |
No.3
(May)
Special Issue on Human Digital Twin Technology
Special Issue on Human Digital Twin Technology
Editorial: | p. 205 | |
Human Digital Twin Technology |
| |
Mitsunori Tada and Tetsunari Inamura | ||
With the advancement of information technologies such as the Internet of Things and artificial intelligence, cyber-physical systems are being introduced into society. At the core of these systems is the digital twin, a computer model (twin) of a physical entity built in cyberspace for simulation-based prediction. Currently, the digital twin mainly targets artificial objects, such as aircraft engines and factories. However, if it can be extended to humans, it could lead to the realization of human-machine cooperative systems and health promotion services, thereby solving social issues stemming from the aging of society. However, humans are the weakest link in the system, and many technical problems remain to be solved, such as realizing the measurement, modeling, and prediction of human behavior, if the human digital twin is to become reality. This special issue contains 9 papers on developing essential technologies for the human digital twin and constructing human-machine systems for specific applications. The topics covered include learning algorithms, motion measurement and analysis techniques, human perception, system development, and platform software for system development. These clearly show that cross-disciplinary efforts are essential to the realization of the human digital twin. We thank the authors of the papers submitted for this special issue. We are confident that the information provided by the authors is suggestive and informative for both specialists and non-specialists alike. We also sincerely appreciate the efforts of the reviewers. Their contributions helped to make this special issue possible. We hope that this special issue will catalyze sharing across the boundaries of research fields along the path to realizing a human digital twin. |
Research Paper: | pp. 206-216 | ||
Multi-Scale Batch-Learning Growing Neural Gas Efficiently for Dynamic Data Distributions |
|
||
Fernando Ardilla, Azhar Aulia Saputra, and Naoyuki Kubota |
Research Paper: | pp. 217-225 | ||
Estimating Whole-Body Walking Motion from Inertial Measurement Units at Wrist and Heels Using Deep Learning |
|
||
Yuji Kumano, Suguru Kanoga, Masataka Yamamoto, Hiroshi Takemura, and Mitsunori Tada |
Research Paper: | pp. 226-236 | ||
Motion Analysis of the Torso and the Elbow During Picking and Placing Heavy Object on Shelf |
|
||
Kaito Hara, Satoki Tsuichihara, and Yasutake Takahashi |
Research Paper: | pp. 237-247 | ||
Motion Measurement and Analysis for Functional Independence Measure |
|
||
Shino Matsuura, Kazuhiko Hirata, Hiroaki Kimura, Yoshitaka Iwamoto, Makoto Takahashi, Yui Endo, Mitsunori Tada, Tsubasa Maruyama, and Yuichi Kurita |
Research Paper: | pp. 248-261 | ||
Effect of Perspective and Visuo-Tactile Feedback in Virtual Reality-Based Posture Learning |
|
||
Ryo Hanashima, Takumi Tokuda, Masaaki Mochimaru, and Junji Ohyama |
Research Paper: | pp. 262-276 | ||
Proposal of Simulation-Based Surgical Navigation and Development of Laparoscopic Surgical Simulator that Reflects Motion of Surgical Instruments in Real-World |
|
||
Sayaka Shibuya, Noriyuki Shido, Ryosuke Shirai, Kazuya Sase, Koki Ebina, Xiaoshuai Chen, Teppei Tsujita, Shunsuke Komizunai, Taku Senoo, and Atsushi Konno |
Research Paper: | pp. 277-283 | ||
Inflatable Humanoid Cybernetic Avatar for Physical Human–Robot Interaction |
|
||
Ryuma Niiyama, Masahiro Ikeda, and Young Ah Seong |
Review: | pp. 284-291 | ||
Digital Twin of Experience for Human–Robot Collaboration Through Virtual Reality |
|
||
Tetsunari Inamura |
Research Paper: | pp. 292-304 | ||
DhaibaWorks: A Software Platform for Human-Centered Cyber-Physical Systems |
|
||
Yui Endo, Tsubasa Maruyama, and Mitsunori Tada |
Regular Papers
Research Paper: | pp. 305-313 | ||
Machine Learning Based Position Prediction of a Target Tracked by Multi-Aperture Positioning System |
|
||
Luis Garcia, Uwe Bielke, Cornelius Neumann, and Rainer Börret |
No.2
(Mar)
Special Issue on Application of Artificial Intelligence Techniques in Production Engineering
Special Issue on Application of Artificial Intelligence Techniques in Production Engineering
Editorial: | p. 91 | |
Application of Artificial Intelligence Techniques in Production Engineering |
| |
Keiichi Nakamoto and Keigo Takasugi | ||
Artificial intelligence (AI) techniques have been behind disruptive innovations in every industry. Based on AI techniques, large amounts of data can be converted into actionable insights and predictions. Manufacturers have frequently faced different kinds of challenges, such as unexpected machinery failures or defective product deliveries. Still, the adoption of AI techniques is expected to improve operational efficiency, enable the launch of new products, customize product designs, and plan future financial actions. Recently, manufacturers have been using AI techniques to improve the quality of their products, achieve greater speed and visibility across supply chains, and optimize inventory management. Given that the attention and interest in AI techniques has been growing rapidly, it is time that the current state of the art of their practical applications be presented. The main aim of this special issue is to bring together the latest AI research and practical case studies of AI techniques in production engineering. This special issue features 10 papers related to not only operation automation but also sophisticated skill transfer in manufacturers. Their subjects cover various advancements, such as failure diagnosis, product estimation, process planning, operation planning, and workpiece fixturing in the area of machining. Moreover, the authors boldly strive to apply AI technologies even to complex systems in manufacturing fields such as laser-assisted incremental forming, injection molded direct joining, and parts assembling. We thank the authors for their interesting papers submitted for this special issue, and we are sure that both general readers and specialists will find the information the authors provide both interesting and informative. Moreover, we deeply appreciate the reviewers for their incisive efforts. Without these contributions, this special issue would not have been possible. We truly hope that this special issue triggers further research on AI techniques in production engineering. |
Research Paper: | pp. 92-102 | ||
Machine Learning-Based Shape Error Estimation Using the Servomotor Current Generated During Micro-Milling of a Micro-Lens Mold |
|
||
Kenta Mizuhara, Daisuke Nakamichi, Wataru Yanagihara, and Yasuhiro Kakinuma |
Research Paper: | pp. 103-111 | ||
Diagnosis Method of Lubrication Failure by Coolant Immersion for a CNC Lathe Spindle |
|
||
Keigo Takasugi, Naohiko Suzuki, Yoshiyuki Kaneko, and Naoki Asakawa |
Research Paper: | pp. 112-119 | ||
Study on Process Design Based on Language Analysis and Image Discrimination Using CNN Deep Learning |
|
||
Akio Hayashi and Yoshitaka Morimoto |
Research Paper: | pp. 120-127 | ||
Computer Aided Process Planning for Rough Machining Based on Machine Learning with Certainty Evaluation of Inferred Results |
|
||
Naofumi Komura, Kazuma Matsumoto, Shinji Igari, Takashi Ogawa, Sho Fujita, and Keiichi Nakamoto |
Research Paper: | pp. 128-135 | ||
Acquisition of Skills for Process Planning Through Eye Tracking When Understanding Mechanical Drawings |
|
||
Takumu Yoshikawa, Fumihiro Nakamura, Eisuke Sogabe, and Keiichi Nakamoto |
Research Paper: | pp. 136-143 | ||
Augmented Reality-Based System for Skill Transfer of Workpiece Fixturing in Turning Operations |
|
||
Koji Nishida, Masatoshi Itoh, and Keiichi Nakamoto |
Research Paper: | pp. 144-155 | ||
Feasibility Study of Laser-Assisted Incremental Forming for Carbon Fiber Reinforced Thermo Plastic Based on 3D-CAD Data |
|
||
Hidetake Tanaka, Kippei Yamada, and Tatsuki Ikari |
Research Paper: | pp. 156-166 | ||
Statistical and Artificial Intelligence Analyses of Blast Treatment Condition Effects on Blast-Assisted Injection Molded Direct Joining |
|
||
Shuohan Wang, Fuminobu Kimura, Shuaijie Zhao, Eiji Yamaguchi, Yuuka Ito, Yukinori Suzuki, and Yusuke Kajihara |
Research Paper: | pp. 167-175 | ||
Automated Generation of Product Assembly Order Based on Geometric Constraints Between Parts |
|
||
Isamu Nishida, Hayato Sawada, and Keiichi Shirase |
Research Paper: | pp. 176-182 | ||
Automatic Parts Correspondence Determination for Transforming Assemblies via Local and Global Geometry Processing |
|
||
Hayata Shibuya and Yukie Nagai |
Regular Papers
Research Paper: | pp. 183-193 | ||
Utilization Method and Effect Evaluation of Systems Thinking in Future Design: Comparative Analysis of Policy-Making Workshops in Local Governments |
|
||
Yutaka Nomaguchi, Ryotaro Senoo, Shinya Fukutomi, Keishiro Hara, and Kikuo Fujita |
No.1
(Jan)
Special Issue on Advanced Abrasive Processing Technologies
Special Issue on Advanced Abrasive Processing Technologies
Editorial: | pp. 3-4 | |
Advanced Abrasive Processing Technologies |
| |
Minoru Ota, Hirofumi Suzuki, Kazuhito Ohashi, and Takazo Yamada | ||
Abrasive processing technologies support both the creation of new products and progressive production processes as finishing processing in various industries, such as the automotive, telecommunications, semiconductor, healthcare, energy, and aerospace industries. In this era of major changes, known as the Fourth Industrial Revolution, advanced abrasive processing technologies that produce cutting-edge devices, machinery, and equipment for a smart society are needed. The subjects related to abrasive processing are extremely diverse, including function generation processing and ICT fusion processing, in addition to the continuing basic subjects, including high-efficiency processing, difficult-to-cut material processing, ultra/high-precision processing, etc. The field of abrasive processing has recently been expanding from removal processing to additional types of processing, such as additive manufacturing. As a result, its importance is increasing as a technology indispensable for advanced industries such as healthcare and the production of power semiconductors, cutting-edge semiconductors, etc. On the other hand, new abrasive processing technologies, such as grinding wheel surface property analysis and highly efficient surface finishing methods, have developed along with the advancement of the elemental technologies that support abrasive processing using the latest measurement methods and ultra-precision technology. Furthermore, new research, such as work on energy-assisted or reaction-assisted grinding, has been conducted through the fusion of the materials science and physical chemistry fields. This special issue contains seven papers that cover the following topics. - Abrasive jet processing - Analysis of the surface profile of a grinding wheel - Drilling of glass with a diamond tool - Reaction-assisted grinding - Barrel finishing - High-speed polishing We deeply appreciate the authors for their careful work and thank the reviewers for their incisive efforts in producing this special issue. We hope that it will help readers understand the latest research on abrasive pro...<more> |
Research Paper: | pp. 5-13 | ||
Influence of the Impact Angle on Machining in Powder Jet Processing |
|
||
Chieko Kuji, Kuniyuki Izumita, Keita Shimada, Masayoshi Mizutani, Keiichi Sasaki, and Tsunemoto Kuriyagawa |
Research Paper: | pp. 14-20 | ||
Three-Dimensional Evaluation of Microscopic Wheel Surface Topography in Creep Feed Grinding Using Ceramics Grinding Wheel |
|
||
Masakazu Fujimoto and Masashi Fujita |
Research Paper: | pp. 21-31 | ||
Evaluation of Dressing Condition Based on Quantification of Grinding Wheel Surface Conditions |
|
||
Gen Uchida, Takazo Yamada, and Yuta Iwasaki |
Research Paper: | pp. 32-39 | ||
Effects of Bit Shape of Electroplated Diamond Tool Used for Drilling Small Diameter Holes in Glass Plate on Machining Fluid Flow and Chip Discharge |
|
||
Tappei Oyamada, Akira Mizobuchi, and Tohru Ishida |
Research Paper: | pp. 40-46 | ||
Slurry Conditions for Reaction-Induced Slurry-Assisted Grinding of Optical Glass Lens |
|
||
Tappei Kawasato, Hinata Takamaru, Kazuhisa Hamazono, Masahiko Fukuta, Katsutoshi Tanaka, Yusuke Chiba, Mikinori Nagano, Hidebumi Kato, and Yasuhiro Kakinuma |
Research Paper: | pp. 47-54 | ||
Finishing Speed Improvement Using Side Cover Plates in Gyro Finishing |
|
||
Yohei Hashimoto, Yugo Nakayama, Tatsuaki Furumoto, Akihito Sekiya, Tetsuya Yamada, Tatsuki Kawahara, and Akira Hosokawa |
Research Paper: | pp. 55-63 | ||
Development of High-Speed Rotation Polishing System with Slurry Confinement and Friction-State Control |
|
||
Kenichiro Yoshitomi, Yoshinori Shimada, and Atsunobu Une |
Regular Papers
Research Paper: | pp. 65-70 | ||
Research on the Positioning and Recognition of an Intelligent Inspection Robot in Substations |
|
||
Liyun Xing |
Research Paper: | pp. 71-80 | ||
Scheduling Algorithm Using Path Relinking for Production Process with Crane Interference |
|
||
Takashi Tanizaki, Kazuya Yamada, Shigemasa Nakagawa, and Hideki Katagiri |
Vol.16 (2022)
No.6
(Nov)
The Best Paper Award 2022 and The Special Paper Award 2022
Special Issue on Design and Manufacturing for Environmental Sustainability
The Best Paper Award 2022 and The Special Paper Award 2022
Award: | pp. 679-682 | |
Congratulations! The Best Paper Award 2022 and The Special Paper Award 2022 |
| |
Special Issue on Design and Manufacturing for Environmental Sustainability
Editorial: | p. 683 | |
Design and Manufacturing for Environmental Sustainability |
| |
Yasushi Umeda | ||
This is the sixth special issue on Design and Manufacturing for Environmental Sustainability. As the first special issue on this topic was issued in 2009, the topic has thirteen years of history in this journal. Environmental sustainability was recognized as important for manufacturing even at that time. This is why the special issue was started in this journal. The seriousness of this topic has been increasing not only in Europe but also in Japan and other countries. One critical trend as of late has been the way that the attitude of companies regarding this issue, including their positions on carbon neutrality, circular economy, and biodiversity, has come to determine the value of the company in the eyes of, for example, environment, society, and governance (ESG) finance. Nowadays, we cannot say sustainability or business; we should pursue businesses that contribute to sustainability. This sixth special issue includes eighteen well-written papers, with one more paper to follow. This series of special issues has focused on topics related to ecodesign, recycling, remanufacturing, low-energy and low-emission manufacturing, and circular economy. The papers in this special issue are also deeply related to these topics. As a result of the thirteen-year history of the special issue, we have been able to learn some viewpoints specific to the series in this journal. This has led this special issue to consist of four subcategories, although they are not explicitly represented in the table of contents. The first subcategory consists of seven papers, from the first paper by K. Halada et al. to the seventh paper by A. Yoshimura et al. These papers are related to design, including evaluation, business, remanufacturing, and materials. Among others, the important viewpoint common to these papers is the “flow” of product lifecycles and materials. The second category starts with the eighth paper by C. Ye et al. and ends with the eleventh paper by Y. Yamashita et al. These papers deal with manufacturing issues in the context of the environmental sustainability. For example, the eighth paper deals with the crushing of ...<more> |
Paper: | pp. 684-695 | ||
New Indicators ‘Acircularity’ and ‘Resource Efficiency Account’ to Evaluate the Efforts of Eco-Design in Circular Economy |
|
||
Kohmei Halada, Kiyotaka Tahara, and Mitsutaka Matsumoto |
Technical Paper: | pp. 696-703 | ||
Life Cycle Analysis of Material Efficiency Strategies for Network Goods |
|
||
Ana Maria Galindo Serrano and Mikko Samuli Vaija |
Paper: | pp. 704-714 | ||
Analysis of Business Feasibility for Introduction of Retread Tires in Passenger Cars |
|
||
Tomiya Kimura, Tetsuya Toma, and Masaru Nakano |
Paper: | pp. 715-726 | ||
Life Cycle Simulation Method to Support Strategic Management that Considers Social Goals |
|
||
Taro Kawaguchi, Shuhei Suzuki, Hidenori Murata, and Hideki Kobayashi |
Paper: | pp. 727-736 | ||
Variability Specific to a Closed-Loop Supply Chain with Product Deterioration |
|
||
Jundai Koketsu, Aya Ishigaki, Hiromasa Ijuin, and Tetsuo Yamada |
Paper: | pp. 737-746 | ||
Estimation of Relative Resource Circulation for Heat Exchangers Using Material Flow Analysis for Air Conditioners |
|
||
Shoma Fujii, Yuko Oshita, Yasunori Kikuchi, and Satoshi Ohara |
Paper: | pp. 747-755 | ||
Analysis of Substance Flow and the Transition of Industrial Structure of Indium in Japan |
|
||
Akihiro Yoshimura, Yuma Nishioka, and Yasunari Matsuno |
Paper: | pp. 756-765 | ||
Influence of Agitator Shape on Characteristics and Grinding Efficiency of Attritor Mill |
|
||
Chenzuo Ye, Yutaro Takaya, Yuki Tsunazawa, Kazuhiro Mochidzuki, and Chiharu Tokoro |
Report: | pp. 766-772 | ||
Visual Identification-Based Spark Recognition System |
|
||
Tianhao Cheng, Hao Hu, Hitoshi Kobayashi, and Hiroshi Onoda |
Paper: | pp. 773-782 | ||
Challenges of Remanufacturing Using Powder Bed Fusion Based Additive Manufacturing |
|
||
Naoko Sato, Mitsutaka Matsumoto, Hisato Ogiso, and Harumichi Sato |
Paper: | pp. 783-794 | ||
Defect Detection in Multiple Product Variants Using Hammering Test with Machine Learning |
|
||
Yosuke Yamashita, Kazunori Yoshida, Yusuke Kishita, and Yasushi Umeda |
Paper: | pp. 795-806 | ||
Exploring the Impact of IoT and Green Advertising on Consumer Behavior |
|
||
Jui-Che Tu, Cheng-Hsueh Yang, and Yu-Yin Chen |
Paper: | pp. 807-813 | ||
Extraction and Design of Favorite Products Through Analyzing Customer Latent Preferences |
|
||
Ryosui Koga and Hideki Aoyama |
Paper: | pp. 814-823 | ||
Sustainable Design Implementation – Measuring Environmental Impact and User Responsibility |
|
||
Achmad Yahya Teguh Panuju, Martinus Martinus, Akhmad Riszal, and Hideki Kobayashi |
Paper: | pp. 824-830 | ||
The Diffusion of Remanufacturing Policies in Asia |
|
||
Michikazu Kojima |
Technical Paper: | pp. 831-837 | ||
An Analysis of Practices and Challenges for Plastic Recycling Industry in Malaysia |
|
||
Ming Hui Tan, Meng Soon Chiong, Yoon-Young Chun, Kenichiro Tsukahara, and Kiyotaka Tahara |
Paper: | pp. 838-844 | ||
Identifying Potential Areas for Circular Economy Development from the Perspective of Developing Economies: Using Patent and Bibliometric Analyses |
|
||
Nathasit Gerdsri and Pard Teekasap |
Technical Paper: | pp. 845-852 | ||
Action Research on a Locally Oriented Sustainable Product |
|
||
Shota Tajima |
Regular Papers
Paper: | pp. 853-861 | ||
Study on Method for Avoiding Chatter Vibration by Changing Machine Tool Rigidity |
|
||
Akio Hayashi, Okitoshi Shibata, and Yoshitaka Morimoto |
Paper: | pp. 862-869 | ||
Milling of Sintered Carbide via Electrochemical Reaction – Investigation of Machining Phenomena – |
|
||
Akihiro Goto, Junda Chen, and Kosuke Shirai |
Paper: | pp. 870-878 | ||
Generation of a Robot Program and Determination of an Optimal Workpiece Placement Considering the Manipulability of Industrial Robots |
|
||
Kei Moriguchi, Takuya Mizokami, and Koichi Morishige |
Paper: | pp. 879-887 | ||
Spiral Groove Machining Through Wire Electrical Discharge Machining with Two Rotary Axes |
|
||
Hideki Takezawa, Yuta Umeda, Ren Motomura, and Shunya Hirano |
Paper: | pp. 888-896 | ||
Effect of Powder Mold Release Agent on Aluminum Alloy Melt Under Gravity Casting Conditions |
|
||
Kuiyuan Mu, Makoto Nikawa, Kunio Hayakawa, Hidetaka Shima, and Minoru Yamashita |
Paper: | pp. 897-905 | ||
Cutting Force in Peripheral Milling of Additively Manufactured Maraging Steel |
|
||
Shoichi Tamura, Atsushi Ezura, and Takashi Matsumura |
No.5
(Sep)
Special Issue on Recent Progress in Manufacturing Technology
Special Issue on Recent Progress in Manufacturing Technology
Editorial: | p. 519 | |
Recent Progress in Manufacturing Technology |
| |
Hiroyuki Narahara and Feng Gao | ||
The continued effects of the global spread of COVID-19 have reaffirmed that restrictions on the movement of people and products have geopolitical consequences. In addition, the impacts involved in the decarbonization of the global environment have further strengthened the growing demand for the building of a sustainable society. These factors have had no small impact on the global economy and on global manufacturing as well. In this context, the demand for the realization of new manufacturing technologies that can respond to changes in social and economic environments has been growing. This special issue focuses on recent advances in manufacturing technologies that maximize product quality and reduce costs, with an emphasis on the machinery industry. This special issue of the IJAT contains 12 papers. These include works on cutting technology, machining metrology, advanced machine tools, gear manufacturing technology, additive manufacturing, and more. The first five papers are proposals for new cutting technologies and elucidations of cutting phenomena. The next three papers are new proposals for machining measurements. The next two papers are on precision positioning technologies and a rack gear compensation technology. The last two papers are theoretical investigations into the basic phenomenon of additive manufacturing and its applications. These papers were originally presented at the 10th International Conference on Leading Edge Manufacturing in the 21st Century (LEM21), held in Kitakyushu, Japan in 2021. The papers have been revised and expanded at the request of the editors. The editors would like to thank all authors for their comprehensive efforts in making this special issue possible, and would like to thank the anonymous reviewers for their hard work. We wish them all the best in their future research in this field of manufacturing technology. |
Paper: | pp. 520-527 | ||
High-Efficiency Machining of Titanium Alloy Using Combined Machining Method of Driven Rotary Tool and Hale Machining |
|
||
Yuto Yamazaki, Tetsuo Takada, Hideharu Kato, and Shigehiko Sakamoto |
Paper: | pp. 528-535 | ||
Effect of Cutting Fluid on Tool Wear in Finished Surface Formation Area of Rounded Nosed Tool When Turning Alloy 304 |
|
||
Takahide Hayashida, Ryutaro Tanaka, Katsuhiko Sekiya, and Keiji Yamada |
Paper: | pp. 536-542 | ||
Feasibility Study of EDM-Assisted Combined Turning for Unidirectional CFRP |
|
||
Hidetake Tanaka, Yuta Fukada, and Ryuta Kuboshima |
Paper: | pp. 543-551 | ||
High-Precision Small-Diameter Deep Hole Drilling Using Cooling and Step Feed in PEEK Resin |
|
||
Mitsuyoshi Nomura, Shogo Ito, Tatsuya Fujii, and Tsunehisa Suzuki |
Paper: | pp. 552-561 | ||
Elucidation of Drilling Behavior on Workpiece Superimposed with Ultrasonic Vibration |
|
||
Naofumi Tsuji, Kota Takashima, Akira Sakurada, Kazuto Miyawaki, and Hiromi Isobe |
Paper: | pp. 562-571 | ||
Statistics-Based Measuring Point Selection for Monitoring the Thermal Deformation of a Workpiece in End-Milling |
|
||
Mengmeng Yang, Feng Zhang, and Koji Teramoto |
Paper: | pp. 572-581 | ||
Design and Testing of a Compact Optical Angle Sensor for Pitch Deviation Measurement of a Scale Grating with a Small Angle of Diffraction |
|
||
Lue Quan, Yuki Shimizu, Ryo Sato, Dong Wook Shin, Hiraku Matsukuma, Andreas Archenti, and Wei Gao |
Paper: | pp. 582-587 | ||
A MEMS Device Integrating Multiple Cantilever Displacement Sensors to Evaluate Flat Machined Surfaces |
|
||
Hiroki Shimizu, Koichi Tamiya, Shoichiro Mizukami, and Yuuma Tamaru |
Paper: | pp. 588-597 | ||
Design and Prototyping of Biaxial Flexible Support Table for Fine Positioning Through Controlled Magnetic Attraction Forces |
|
||
Yuuma Tamaru, Kensuke Kawata, and Hiroki Shimizu |
Paper: | pp. 598-608 | ||
Process of Straightening by Three-Point and Four-Point Bending for Curved Brass Rack |
|
||
Yuuta Aono, Nobukatsu Sato, Shinji Inoue, and Daichi Koga |
Paper: | pp. 609-614 | ||
Simplified Prediction of Melt Pool Shape in Metal Additive Manufacturing Using Maraging Steel |
|
||
Taiichiro Fukunaga and Hiroyuki Narahara |
Paper: | pp. 615-623 | ||
Mechanical Joining with Aluminum Part by 3D Printing of Polylactic Acid and Acrylonitrile-Butadiene-Styrene Parts for Fabrication of Multi-Material Parts |
|
||
Yuki Nakagawa, Ayumu Abe, and Masahiko Yoshino |
Regular Papers
Paper: | pp. 625-633 | ||
Motion Analysis of Lathe Machining Work Using a Digital Position Display Device |
|
||
Seiko Taki and Shohei Yonezawa |
Technical Paper: | pp. 634-641 | ||
A Compound Control Algorithm for Height Following of Laser Cutting Head |
|
||
Wu Da, Zeng Chunnian, Luo Jie, Yan Shu, Chen Lei, and Jinmin Hu |
Paper: | pp. 642-653 | ||
Enhancing the Shape Complexity in Direct Energy Deposition with Phased Deformation |
|
||
Srinath Gudur, Suryakumar Simhambhatla, and N. Venkata Reddy |
Paper: | pp. 654-665 | ||
Investigation of Air Filter Properties of Flash-Spinning Nanofiber Non-Woven Fabric |
|
||
Shih-Pang Tsai, Wei Wu, Hiroyoshi Sota, Toshiki Hirogaki, and Eiichi Aoyama |
No.4
(Jul)
Special Issue on State-of-the-Art Actuators: Design, Analysis, Control, Materials, Systems, and Applications
Special Issue on State-of-the-Art Actuators: Design, Analysis, Control, Materials, Systems, and Applications
Editorial: | p. 385 | |
State-of-the-Art Actuators: Design, Analysis, Control, Materials, Systems, and Applications |
| |
Katsushi Furutani | ||
Actuators are components that are essential to the moving, manipulating, or deforming of objects. Historically, conventional electromagnetic motors as well as pneumatic and hydraulic actuators have been developed to sophistication. In the past several decades, however, many other kinds of actuators based on novel principles have also been proposed. These have employed physical or/and chemical effects, such as piezoelectric, electrostatic, or giant magnetostrctive effects, as well as thermal expansion, phase transformation, or ion mobility in polymers. Not only the novel actuators but also conventional ones have been continually evolving in astounding ways. These actuators have been embedded not only in conventional machines but also in smart ones, such as artificial muscles for robots and power assist systems, electric vehicles, and machine tools. By combining the actuators with the Internet of Things (IoT), they are also used to test equipment. In addition, there is no doubt that the technologies involved in the development of novel actuators and the improvement of their efficiency are key to the achievement of Sustainable Development Goals (SDGs), as actuators currently consume a huge aggregate amount of energy. In sum, actuators have the potential to be central to the development of innovative machines. This special issue features one review, six research papers, and three technical papers on the most recent advances in various types of actuators. These papers cover topics that include magnetic levitation technologies for precision motion control, electromagnetic motors, fluid power actuators, electrostatic actuators embedded in micro-electromechanical systems, and an ultrasonic motor, plus their applications. All the papers were refereed through careful peer reviews. I believe that this special issue will help the readers to enhance their understanding and knowledge of actuators and their applications. I would like to express my sincere appreciation to the excellent contributions of all the authors, and I appreciate the incisive efforts of reviewers in producing this special issue. |
Review: | pp. 386-402 | ||
Magnetic Levitation Technology for Precision Motion Systems: A Review and Future Perspectives |
|
||
Lei Zhou and Jingjie Wu |
Paper: | pp. 403-420 | ||
New Control Parametrization Strategy for Flexible Feed Drives |
|
||
Natanael Lanz, Sascha Weikert, and Konrad Wegener |
Technical Paper: | pp. 421-426 | ||
Food Texture Measurement System Using Rod Type Actuator for Imitation of Human Mastication |
|
||
Hiroyuki Nakamoto, Yuya Nagahata, and Futoshi Kobayashi |
Paper: | pp. 427-435 | ||
Pneumatically-Controlled Linear Actuator Using Pressure-Resistant, Thin-Walled Metal Bellows and its Application |
|
||
Yasukazu Sato and Takeyoshi Shimbori |
Paper: | pp. 436-447 | ||
Model Predictive Displacement Control Tuning for Tap-Water-Driven Artificial Muscle by Inverse Optimization with Adaptive Model Matching and its Contribution Analyses |
|
||
Satoshi Tsuruhara, Ryo Inada, and Kazuhisa Ito |
Paper: | pp. 448-455 | ||
Design and Fabrication of Micro Gripper Using Functional Fluid Power |
|
||
Yutaka Tanaka, Ryuta Suzuki, Kazuya Edamura, and Shinichi Yokota |
Technical Paper: | pp. 456-463 | ||
Control of Spindle Position and Stiffness of Aerostatic-Bearing-Type Air Turbine Spindle |
|
||
Tomohiro Tanaka, Tomonori Kato, Tatsuki Otsubo, Atsuhiro Koyama, and Takanori Yazawa |
Paper: | pp. 464-470 | ||
Bipolar Electrostatic Driving of Isolated Micro-Resonator for Sensing High Voltage of Battery Output with Resolution |
|
||
Naoki Nobunaga, Shinya Kumagai, and Minoru Sasaki |
Technical Paper: | pp. 471-477 | ||
Development of Bipolar Electrostatic Chuck with a Beam-Array Assembly Fabricated by Lithography |
|
||
Yuki Taoka, Kohei Kawabata, Pasomphone Hemthavy, Seungman Choi, Kunio Takahashi, and Shigeki Saito |
Paper: | pp. 478-487 | ||
Examination of Hemispherical Shell Stator for Lightweight Spherical Ultrasonic Motor |
|
||
Kento Goda, Hidekazu Kajiwara, and Manabu Aoyagi |
Regular Papers
Paper: | pp. 489-496 | ||
Development of a Sharp-Tipped L-Shaped Stylus for Measurement of Nanoscale Sidewall Features |
|
||
Kosuke Uchiyama, Hiroshi Murakami, Akio Katsuki, and Takao Sajima |
Paper: | pp. 497-506 | ||
Posture Evaluation Based on Forward Kinematics and Inverse Kinematics of Parallel Link Type Machine Tool |
|
||
Hiroto Tanaka, Yoshitaka Morimoto, Akio Hayashi, and Hidetaka Yamaoka |
No.3
(May)
Special Issue on Smart Factory
Special Issue on Smart Factory
Editorial: | p. 249 | |
Smart Factory |
| |
Hironori Hibino and Yasuyuki Nishioka | ||
A Fourth Industrial Revolution has been proposed, and various research and development activities geared toward the realization of smart factories have become extremely active. In smart factories developed individually within companies, the direction of the development activities is changing drastically. Regarding common technologies, research activities and feasible case study activities that are collaborations among industry, academia, and government and that show consideration and awareness of ecosystems are becoming active. It has been five years since the IJAT last published a special issue on smart manufacturing. Smart factory technologies are becoming more and more important in the industrial world, not as a temporary boom, but as a steady development. Research on smart factory technologies is progressing, as they are considered to be important technologies in the industrial world, along with Digital Transformation (DX) technologies, among others. This special issue addresses the latest in advanced research on smart factories. We have received many submissions from researchers at universities, public research institutes, and companies, and we are pleased to publish eight papers. The latest research being published mainly concerns the following five topics: - Smart and digital twinning of machine tools - Smart and digital twinning of production systems - Optimization of production systems using scheduling algorithms - Optimization of production systems including worker operations - Optimization of energy consumption for production systems The results of these studies will serve as a reference for further smart factory technologies in the future. We deeply appreciate the careful work of all the authors, and we thank the reviewers for their incisive efforts. Without these contributions, this special issue could not have been created. We also hope that this special issue will trigger leading to further advances in smart factories. |
Paper: | pp. 250-260 | ||
Digital Tools Integration and Human Resources Development for Smart Factories |
|
||
Hiroyuki Sawada, Yoshihiro Nakabo, Yoshiyuki Furukawa, Noriaki Ando, Takashi Okuma, Hitoshi Komoto, and Keijiro Masui |
Paper: | pp. 261-268 | ||
Identification of a Practical Digital Twin for Simulation of Machine Tools |
|
||
Tomoya Fujita, Tiandong Xi, Ryosuke Ikeda, Sebastian Kehne, Marcel Fey, and Christian Brecher |
Paper: | pp. 269-279 | ||
Application of Metaheuristics to Packing Formation Support Systems of Pre-Cut Lumber Factory |
|
||
Takashi Tanizaki and Ryohei Yamashita |
Technical Paper: | pp. 280-285 | ||
On-Machine Tool Condition Monitoring System Using Image Processing |
|
||
Kenta Kanto, Junichi Kubota, Makoto Fujishima, and Masahiko Mori |
Technical Paper: | pp. 286-295 | ||
Improving Remote Spatial Understanding by Transmitting Spherical Images via Video Chat Applications |
|
||
Kazuma Aoyama, Kiyosu Maeda, Ryoko Ueoka, Shigeo Makioka, Nobukazu Sakura, Kunihiko Nakashima, Michitaka Hirose, and Tomohiro Amemiya |
Paper: | pp. 296-308 | ||
Multi-Objective Approach with a Distance Metric in Genetic Programming for Job Shop Scheduling |
|
||
Shady Salama, Toshiya Kaihara, Nobutada Fujii, and Daisuke Kokuryo |
Paper: | pp. 309-319 | ||
Energy Consumption Rate Evaluation Method Considering Occurrence of Defective Products and Misjudgment of Inspection Machine in Production Line |
|
||
Hironori Hibino, Takamasa Horikawa, Syungo Arai, and Makoto Yamaguchi |
Paper: | pp. 320-328 | ||
Production System Evaluation Method Considering Worker Taking Childcare |
|
||
Hironori Hibino and Yoshihiko Watanabe |
Regular Papers
Paper: | pp. 329-339 | ||
Performance Evaluation of Low-Cost Vibration Sensors in Industrial IoT Applications |
|
||
Ali Iqbal, Naeem S. Mian, Andrew Longstaff, and Simon Fletcher |
Paper: | pp. 340-348 | ||
Study of the Load Forecasting of a Wet Mill Based on the CEEMDAN-Refined Composite Multiscale Dispersion Entropy and LSTM Nerve Net |
|
||
Xiaoyan Luo, Yaofeng Huang, Fangwei Zhang, and Qingling Wu |
Paper: | pp. 349-355 | ||
Reverse Engineering Algorithm for Cutting of Ruled Geometries by Wire |
|
||
Anthony T. H. Beaucamp and Yoshimi Takeuchi |
Paper: | pp. 356-366 | ||
Improved Synchronous Motion of Linear and Rotary Axes While Avoiding Torque Saturation Under a Constant Feed Speed Vector at the Endmilling Point – Investigation of Motion Error Under Numerical Control Commanded Motion – |
|
||
Takamaru Suzuki, Kazuki Yoshikawa, Toshiki Hirogaki, Eiichi Aoyama, and Takakazu Ikegami |
Paper: | pp. 367-373 | ||
Forming of Multiple Straight Convex Shapes on Aluminum Sheet Using Impulsive Water Pressure |
|
||
Minoru Yamashita, Haruki Saito, and Makoto Nikawa |
No.2
(Mar)
Special Issue on Self-Optimizing Machining Systems
Special Issue on Self-Optimizing Machining Systems
Editorial: | p. 125 | |
Self-Optimizing Machining Systems |
| |
Yasuhiro Kakinuma and Daisuke Kono | ||
The concept of Self-Optimizing Machining Systems (SOMS) has been proposed against the background of Industry 4.0 and the Digital Twin concept, based on cyber-physical systems. In order to improve manufacturing productivity, quality, and efficiency, each component technology related to the machining process, such as CAD/CAM, process modeling/simulation, process monitoring/control, and workpiece assessment, as well as the machine tools themselves, has been developed independently to date. However, series of processes, including the interactions among these component technologies, have finally determined the machining performance and the quality of the products. SOMS deals with the information links among these components comprehensively and plays the important role of combining these links and functionalities to optimize the overall machining system. Nevertheless, an intensive implementation and combination of these technologies has yet to become state-of-the-art in industry, while further research and development for SOMS is required for Industry 4.0 and Digital Twin. This special issue focuses on the research trends of SOMS, especially the interaction links among machine tools, process monitoring, and work assessment. From researchers who are active on the front lines of manufacturing engineering, the latest achievements related to the development of SOMS are presented in 6 papers. On one hand, the development of sensor-integrated components is indispensable for SOMS to monitor the status of a process and feed it back to a related component in order to control the machining process and its environment. On the other hand, it can be said that visual simulation, virtual metrology, and other epoch-making, on-machine technologies for evaluating machined surfaces, as well as process optimization based on machined surface information, are strongly required. We hope this special issue will contribute to future research and development for researchers and engineers in the field of manufacturing and machining systems. |
Paper: | pp. 126-137 | ||
Sensor-Integrated Tool for Self-Optimizing Single-Lip Deep Hole Drilling |
|
||
Robert Wegert, Mohammad Alaa Alhamede, Vinzenz Guski, Siegfried Schmauder, and Hans-Christian Möhring |
Paper: | pp. 138-148 | ||
Prediction of Gloss in Plastic Injection Parts Based on 3D Surface Roughness from Virtual Machining with Artificial Neural Networks |
|
||
Wiroj Thasana and Weerachart Wetchakama |
Paper: | pp. 149-156 | ||
Reduction of the Influence of Non-Repeatable Run-Out in X-Y Plane of Machining Surface |
|
||
Yuta Showa and Hayato Yoshioka |
Paper: | pp. 157-166 | ||
Measurement of Machine Tool Two-Dimensional Error Motions Using Direction-Regulated Laser Interferometers |
|
||
Daichi Maruyama, Soichi Ibaraki, and Ryoma Sakata |
Paper: | pp. 167-174 | ||
Quantitative Evaluation of Machined-Surface Gloss Using Visual Simulation and its Application to Sensory Test |
|
||
Motohiro Ihara, Iwao Yamaji, and Atsushi Matsubara |
Paper: | pp. 175-181 | ||
A Study on Anomaly Detection of Water-Soluble Coolant Using Internal-Sensors |
|
||
Yasuo Kondo and Youji Miyake |
Regular Papers
Paper: | pp. 183-196 | ||
Airframe Design Optimization and Simulation of a Flying Car for Medical Emergencies |
|
||
Yusuke Mihara, Tsubasa Nakamura, Aki Nakamoto, and Masaru Nakano |
Paper: | pp. 197-207 | ||
Viewpoint Planning for Object Identification Using Visual Experience According to Long-Term Activity |
|
||
Kimitoshi Yamazaki, Kazuki Nogami, and Kotaro Nagahama |
Paper: | pp. 208-217 | ||
Pose Estimation of a Small Connector Attached to the Tip of a Cable Sticking Out of a Circuit Board |
|
||
Changjian Ying, Yaqiang Mo, Yuichiro Matsuura, and Kimitoshi Yamazaki |
Paper: | pp. 218-229 | ||
A Study on Demand Forecasting of Wholesale Markets of Lettuces for Production Planning in Plant Factories |
|
||
Nobuhiro Sugimura, Nguyen Quang Thinh, Shohei Kohama, Yutaka Fukui, and Koji Iwamura |
Paper: | pp. 230-237 | ||
Tool Wear and Surface Roughness Characteristics in the High-Speed Milling of Pure Ti and Ti Alloy Using TiAlN Coated Carbide Radius End Mill |
|
||
Therdsak Jaingam, Chiaki Kaminaga, Takekazu Sawa, and Masahiro Anzai |
No.1
(Jan)
Special Issue on High Performance Abrasive Technologies
Special Issue on High Performance Abrasive Technologies
Editorial: | pp. 3-4 | |
High Performance Abrasive Technologies |
| |
Takazo Yamada, Kazuhito Ohashi, Hirofumi Suzuki, and Akinori Yui | ||
Demand for the high-precision and high-efficiency machining of hard ceramics, such as silicon carbide for semiconductors and hardened steel for molding dies, has significantly increased for optical and medical devices as well as for powered devices in automobiles. Certain types of hard metals can be machined by deterministic precision-cutting processes. However, hard and brittle ceramics, hardened steel for molds, and semiconductor materials have to be machined using precision abrasive technologies, such as grinding, polishing, and ultrasonic vibration technologies that use diamond super abrasives. The machining of high-precision components and their molds/dies using abrasive processes is very difficult due to their complex and nondeterministic natures as well as their complex textured surfaces. Furthermore, the development of new cutting-edge tools or machining methods and the active use of physicochemical phenomena are key to the development of high-precision and high-efficiency machining. This special issue features 11 research papers on the most recent advances in precision abrasive technologies. These papers cover the following topics: - Characteristics of abrasive grains in creep-feed grinding - Quantitative evaluation of the surface profiles of grinding wheels - ELID grinding using elastic wheels - Nano-topographies of ground surfaces - Novel grinding wheels - Grinding characteristics of turbine blade materials - Polishing mechanisms - Polishing technologies using magnetic fluid slurries - Application of ultrasonic vibration machining - Turning and rotary cutting technologies This issue is expected to help its readers to understand recent developments in abrasive technologies and to lead to further research. We deeply appreciate the careful work of all the authors, and we thank the reviewers for their incisive efforts. |
Paper: | pp. 5-11 | ||
Microscopic Wear Characteristics of Ceramic Grinding Wheel in Creep Feed Grinding |
|
||
Masakazu Fujimoto and Keisuke Shimizu |
Paper: | pp. 12-20 | ||
Evaluation of the Relationship Among Dressing Conditions Using Prismatic Dresser, Dressing Resistance, and Grinding Characteristics |
|
||
Gen Uchida, Takazo Yamada, Kouichi Ichihara, Makoto Harada, and Tatsuya Kohara |
Paper: | pp. 21-31 | ||
ELID Mirror Surface Grinding for Concave Molds by Conductive Elastic Wheel Containing Carbon Black |
|
||
Atsushi Ezura, Katsufumi Inazawa, Kazuhiro Omori, Yoshihiro Uehara, Nobuhide Itoh, and Hitoshi Ohmori |
Paper: | pp. 32-37 | ||
Optimization of Nano-Topography Distribution by Compensation Grinding |
|
||
Nobuhito Yoshihara and Masahiro Mizuno |
Paper: | pp. 38-42 | ||
Effect of the Abrasive Grain Distribution on Ground Surface Roughness |
|
||
Nobuhito Yoshihara, Haruki Takahashi, and Masahiro Mizuno |
Technical Paper: | pp. 43-51 | ||
Effect of Types of Grinding Fluid on Grinding Characteristics of CMSX4 |
|
||
Tatsuki Ikari, Takayuki Kitajima, and Akinori Yui |
Paper: | pp. 52-59 | ||
Polishing Characteristics and Mechanism of Polishing Glass Substrate Using Suede Pad with Fine Micrometer-Sized Pores |
|
||
Michio Uneda, Nodoka Yamada, and Yoshihiro Tawara |
Technical Paper: | pp. 60-70 | ||
Polishing Performance of a Recycled Grinding Wheel Using Grinding Wheel Scraps for the Wet Polishing of Stainless-Steel Sheets |
|
||
Akira Mizobuchi, Takeshi Hamada, Atsuyoshi Tashima, Keita Horimoto, and Tohru Ishida |
Paper: | pp. 71-77 | ||
Development of Ultrasonic Vibration-Assisted Magnetic Compound Fluid (MCF) Polishing Technology |
|
||
Mitsuyoshi Nomura, Kenji Ozasa, Tatsuya Fujii, Tsunehisa Suzuki, and Yongbo Wu |
Paper: | pp. 78-86 | ||
Surface Texturing Technique Based on Ultrasonic Turning for Improving Tribological Properties |
|
||
Keisuke Hara, Toshihiro Fukuda, Kyosuke Taguchi, and Hiromi Isobe |
Paper: | pp. 87-94 | ||
Rotary Cutting with Ultrasonic Vibration of Hardened Steel |
|
||
Shinichi Ninomiya, Satoshi Nagakura, Fumio Koga, Yoji Yamada, and Manabu Iwai |
Regular Papers
Paper: | pp. 95-103 | ||
Effect of Grain Size on Change in Surface Roughness of Carbon Steels Through Polishing Processes |
|
||
Masaaki Matsuzawa, Atsushi Ito, Takafumi Komatsu, and Shiro Torizuka |
Paper: | pp. 104-116 | ||
Power Consumption Simulation of Servo Motors Focusing on the Influence of Mechanical Vibration on Motor Efficiency |
|
||
Massimiliano Rigacci, Ryuta Sato, and Keiichi Shirase |
Vol.15 (2021)
No.6
(Nov)
The Best Paper Award 2021
Special Issue on Advanced Precision Engineering for Digital Transformation
The Best Paper Award 2021
Award: | pp. 751-752 | |
Congratulations! The Best Paper Award 2021 |
| |
Editorial Office |
Special Issue on Advanced Precision Engineering for Digital Transformation
Editorial: | p. 753 | |
Advanced Precision Engineering for Digital Transformation |
| |
Kazuya Yamamura and Keiichi Shirase | ||
“The digital transformation can be understood as the changes that the digital technology causes or influences in all aspects of human life” (definition by Prof. Erik Stolterman). In order to manufacture high value-added products and create a sustainable society, the digital transformation, based on advanced precision engineering, will be an urgent task within manufacturing systems. This special issue consists of eight excellent research papers that focus on advanced precision engineering in manufacturing systems. All research papers were presented at the 18th International Conference on Precision Engineering (ICPE2020). The ICPE2020 covered various topics, including digital design, CAD/CAM technology, traditional cutting/grinding, non-traditional additive manufacturing, machine tools, measurement, robotics, control, and others. Held during the COVID-19 pandemic, it was a virtual conference that saw 189 papers presented in the oral session and 38 papers presented in poster session. The COVID-19 pandemic demands the innovation of current manufacturing systems with new concepts and methodologies, and the editors hope that the research papers in this special issue give us valuable information for the digital transformation of manufacturing systems. All papers were refereed through careful peer reviews. The editors deeply appreciate the efforts and excellent work of all the authors and anonymous reviewers in realizing this special issue. Finally, we hope that future research on precision engineering in manufacturing will further contribute to the achievement of the Sustainable Development Goals (SDGs) of our global society. |
Paper: | pp. 754-763 | ||
Reconfigurable Production Line Design Method for Human Workers – Robotic Cell Collaborated Line Considering Worker’s Attitude Toward Work |
|
||
Daiki Kajita and Nobuyuki Moronuki |
Paper: | pp. 764-773 | ||
Simulation of Energy Consumption During Machine Tool Operations Based on NC Data |
|
||
Akio Hayashi, Fumiya Arai, and Yoshitaka Morimoto |
Paper: | pp. 774-783 | ||
Realization of Swing Manipulation by 3-DOF Robot Arm for Unknown String via Parameter Estimation and Motion Generation |
|
||
Kenta Tabata, Hiroaki Seki, Tokuo Tsuji, and Tatsuhiro Hiramitsu |
Paper: | pp. 784-793 | ||
Comparison of Two Parallel Offsetting Algorithms Free from Conflicts Between Threads |
|
||
Masatomo Inui, Daiki Ishii, and Nobuyuki Umezu |
Paper: | pp. 794-803 | ||
Surrounding Structure Estimation Using Ambient Light |
|
||
Bilal Ahmed Mir, Tohru Sasaki, Yusuke Nagahata, Eri Yamabe, Naoya Miwa, and Kenji Terabayashi |
Paper: | pp. 804-812 | ||
Optimization of Cutting Tool Allocation to Enhance Workload Balance and Total Completion Time in Parallel-Type FMS |
|
||
Takumi Shimada and Haruhiko Suwa |
Paper: | pp. 813-823 | ||
Reversing Behavior of Planetary Gear Train Influenced by Support Stiffness of Driving Shaft |
|
||
Seiya Hamada, Kazutoshi Otokodani, Masao Nakagawa, Toshiki Hirogaki, and Eiichi Aoyama |
Paper: | pp. 824-830 | ||
Feasibility Study of Performance Assessment Gauge for Freeform Measurement |
|
||
Mari Watanabe, Kazuya Matsuzaki, Osamu Sato, Yoshiya Fukuhara, and Masato Terasawa |
Regular Papers
Paper: | pp. 831-841 | ||
A Novel Method for 3D Nanoscale Tracking of 100 nm Polystyrene Particles in Multi-Wavelength Evanescent Fields Microscopy – Absolute Difference Height Verification – |
|
||
Aran Blattler, Panart Khajornrungruang, Keisuke Suzuki, and Soraya Saenna |
Paper: | pp. 842-851 | ||
Fast Cutter Accessibility Analysis Using Ray Tracing Cores of GPU |
|
||
Masatomo Inui, Kohei Kaba, and Nobuyuki Umezu |
Paper: | pp. 852-859 | ||
Statistical Modelling of Machining Error for Model-Based Elastomer End-Milling |
|
||
Adirake Chainawakul, Koji Teramoto, and Hiroki Matsumoto |
Paper: | pp. 860-867 | ||
On-Machine Estimation of Workholding State for Thin-Walled Parts |
|
||
Jingkai Zeng, Koji Teramoto, and Hiroki Matsumoto |
Paper: | pp. 868-877 | ||
Fabrication of Release Agent Supply Die with Porous Structure Using Metal-Based Additive Manufacturing |
|
||
Hironao Chiba, Tatsuaki Furumoto, Yuki Hori, Makoto Nikawa, Nobuhisa Hayashi, and Mitsugu Yamaguchi |
Paper: | pp. 878-884 | ||
Flexible Fiber Conditioner for Fine Conditioning of Polishing Pad and its Evaluation in Chemical Mechanical Polishing: Verification of SUS-FFC on Soft Urethane Foam Pad and Proposal of PEEK-FFC |
|
||
Michio Uneda, Naoki Takahashi, Takashi Fujita, and Yutaro Arai |
Paper: | pp. 885-892 | ||
Tool Path Generation for Five-Axis Controlled Machining of Free-Form Surfaces Using a Barrel Tool Considering Continuity of Tool Postures |
|
||
Tomonobu Suzuki, Ken Okamoto, and Koichi Morishige |
No.5
(Sep)
Special Issue on New Technologies for Robotic Manipulators and Their Industrial Applications
Special Issue on New Technologies for Robotic Manipulators and Their Industrial Applications
Editorial: | pp. 565-566 | |
New Technologies for Robotic Manipulators and Their Industrial Applications |
| |
Soichi Ibaraki and Andreas Archenti | ||
The industrial robot is more precisely an “automatically controlled, reprogrammable, multipurpose manipulator, programmable in three or more axes, which can be either fixed in place or mobile” (ISO 8373:2012). According to the International Federation of Robotics, by 2018, more than 400,000 new units were being installed annually, and the global average robot density in the manufacturing industry was 99 robots per 10,000 employees. More than 30% of all installed robots were in the automotive industry, the biggest customer for robots. Research on measuring and calibrating, modeling, programming and controlling, and integrating systems has been conducted to give robotic manipulators a wider variety of industrial applications. This special issue covers technical and academic efforts related to new technologies that improve the accuracy and facilitate the implementation of robotic manipulators in industrial applications. The first paper, by Ibaraki et al., outlines technical issues and future research directions for the implementation of model-based numerical compensation schemes for industrial robots. The random forest method is used by Kato et al. to construct a calibration model for positioning errors and identify industrial robots’ positioning errors. A procedure for the quasi-static compliance calibration of serial articulated industrial manipulators is proposed by Theissen et al. A review of the kinematic modeling theory and a derived algorithm to identify error sources for a six-axis industrial robot are presented by Alam et al. Nagao et al. derive a forward kinematics model and identify the kinematics parameters for the calibration of a robot-type machine tool. A novel trajectory generation algorithm, including a corner smoothing method for high-speed and high-accuracy machining by industrial robots, is proposed by Tajima et al. Sato et al. study the vibration characteristics of an industrial robot and derive a mathematical model that represents the dynamic behavior of the system. In the context of smart manufacturing, a multilayer quality inspection framework including a measurement ...<more> |
Review: | pp. 567-580 | ||
Evaluation of Kinematic and Compliance Calibration of Serial Articulated Industrial Manipulators |
|
||
Soichi Ibaraki, Nikolas Alexander Theissen, Andreas Archenti, and Md. Moktadir Alam |
Paper: | pp. 581-589 | ||
Positioning Error Calibration of Industrial Robots Based on Random Forest |
|
||
Daiki Kato, Kenya Yoshitsugu, Naoki Maeda, Toshiki Hirogaki, Eiichi Aoyama, and Kenichi Takahashi |
Paper: | pp. 590-598 | ||
Quasi-Static Compliance Calibration of Serial Articulated Industrial Manipulators |
|
||
Nikolas Alexander Theissen, Monica Katherine Gonzalez, Asier Barrios, and Andreas Archenti |
Technical Paper: | pp. 599-610 | ||
Kinematic Modeling of Six-Axis Industrial Robot and its Parameter Identification: A Tutorial |
|
||
Md. Moktadir Alam, Soichi Ibaraki, and Koki Fukuda |
Paper: | pp. 611-620 | ||
Machining Performance of Robot-Type Machine Tool Consisted of Parallel and Serial Links Based on Calibration of Kinematics Parameters |
|
||
Keisuke Nagao, Nobuaki Fujiki, Hiroto Tanaka, Akio Hayashi, Hidetaka Yamaoka, and Yoshitaka Morimoto |
Paper: | pp. 621-630 | ||
Kinematic Tool-Path Smoothing for 6-Axis Industrial Machining Robots |
|
||
Shingo Tajima, Satoshi Iwamoto, and Hayato Yoshioka |
Technical Paper: | pp. 631-640 | ||
Vibration Mode and Motion Trajectory Simulations of an Articulated Robot by a Dynamic Model Considering Joint Bearing Stiffness |
|
||
Ryuta Sato, Yuya Ito, Shigeto Mizuura, and Keiichi Shirase |
Paper: | pp. 641-650 | ||
Multi-Layer Quality Inspection System Framework for Industry 4.0 |
|
||
Victor Azamfirei, Anna Granlund, and Yvonne Lagrosen |
Paper: | pp. 651-660 | ||
High-Precision Mobile Robotic Manipulator for Reconfigurable Manufacturing Systems |
|
||
Shinichi Inoue, Akihisa Urata, Takumi Kodama, Tobias Huwer, Yuya Maruyama, Sho Fujita, Hidenori Shinno, and Hayato Yoshioka |
Paper: | pp. 661-668 | ||
Reactive Scheduling Based on Adaptive Manipulator Operations in a Job Shop Configuration with Two Machines |
|
||
Ryo Yonemoto and Haruhiko Suwa |
Paper: | pp. 669-677 | ||
Imitation Learning System Design with Small Training Data for Flexible Tool Manipulation |
|
||
Harumo Sasatake, Ryosuke Tasaki, Takahito Yamashita, and Naoki Uchiyama |
Paper: | pp. 678-688 | ||
Experienced Challenges When Implementing Collaborative Robot Applications in Assembly Operations |
|
||
Staffan Karl Lennart Andersson, Anna Granlund, Jessica Bruch, and Mikael Hedelind |
Regular Papers
Paper: | pp. 689-695 | ||
Online Monitoring Method for Mold Deformation Using Mahalanobis Distance |
|
||
Yoshio Fukushima and Naoki Kawada |
Paper: | pp. 696-705 | ||
Design, Fabrication, and Performance Analysis of a Vertically Suspended Soft Manipulator |
|
||
Mohamed Tahir Shoani, Mohamed Najib Ribuan, and Ahmad Athif Mohd Faudzi |
Paper: | pp. 706-714 | ||
Design Concept and Structural Configuration of Magnetic Levitation Stage with Z-Assist System |
|
||
Motohiro Takahashi |
Technical Paper: | pp. 715-727 | ||
In-Process Height Displacement Measurement Using Crossed Line Beams for Process Control of Laser Wire Deposition |
|
||
Shigeru Takushima, Nobuhiro Shinohara, Daiji Morita, Hiroyuki Kawano, Yasuhiro Mizutani, and Yasuhiro Takaya |
Paper: | pp. 728-739 | ||
Laser Cutting Defect Recognition Using Conversion of Processing Light Information into Spectrogram Images – Spectroscopic Measurements in Multiple Work Surface Conditions and Extraction of Spectral Data Features Based on Processing Principle – |
|
||
Mizuki Ishiguro, Rui Fukui, Shin’ichi Warisawa, Naoyasu Narita, and Hironobu Miyoshi |
No.4
(Jul)
Special Issue on Advanced Manufacturing Science and Technologies
Special Issue on Advanced Manufacturing Science and Technologies
Editorial: | p. 387 | |
Advanced Manufacturing Science and Technologies |
| |
Takashi Matsumura and Norikazu Suzuki | ||
In recent years, manufacturing technologies have been progressing with the high demands of industry. In the automobile and aircraft industries, for example, the manufacturing processes have been requiring for technologies that allow for high machining rates of lightweight and/or difficult-to-cut materials. Medical device production includes the machining of biocompatible materials that have high mechanical strength. Information devices require high quality in ultra-precision manufacturing processes. Measurement and characterization technologies in manufacturing have also been essential in the progress. Along with evolution of manufacturing technologies, scientific studies have been done on manufacturing phenomena and the control of processes, based on physical and/or mathematical aspects. This special issue is promoted by the International Conference on Leading Edge Manufacturing/Materials & Processing (LEM&P2020), which was canceled to protect the health and wellness of our community from COVID-19, and by the Research Committee of Cutting Technologies in the Japan Society for Precision Engineering. This special issue includes 17 papers that detail progress and innovations in the following areas: - Characterization of materials - Fundamental study and modeling of material removal process - Manufacturing control and optimization - Manufacturing processes for new/hard materials - Micro-/Nano-scale manufacturing - Tool manufacturing and performance - Metrology and evaluation - Surface characterization This special issue also includes not only technical but also scientific discussions, suggesting new key technologies for future manufacturing. We hope this will help the readers to understand the manufacturing processes and improve their operations. We thank the authors and the reviewers for their generous cooperation and the editing staffs for their many contributions. |
Paper: | pp. 388-395 | ||
Microstructure and Mechanical Properties of AlSi12CuNi Alloy Fabricated by Laser Powder Bed Fusion Process |
|
||
Akihiro Hirayama, Masaaki Kimura, Masahiro Kusaka, and Koichi Kaizu |
Paper: | pp. 396-403 | ||
Influence of Configuration Error in Bolted Joints on Detection Error of Clamp Force Detection Method |
|
||
Shinji Hashimura, Hisanori Sakai, Kai Kubota, Nozomi Ohmi, Takefumi Otsu, and Kyoichi Komatsu |
Paper: | pp. 404-412 | ||
Improvement of Machining Accuracy Through Support Method Using Magnetic Elastomer |
|
||
Nobuaki Usui and Akinori Saito |
Paper: | pp. 413-421 | ||
Development of High-Performance Polycrystalline CVD Diamond-Coated Cutting Tools Using Femtosecond Lasers |
|
||
Xiaoxu Liu, Osamu Konda, Hiroko Furuhashi, Kohei Natsume, Satoru Maegawa, and Fumihiro Itoigawa |
Paper: | pp. 422-430 | ||
Change in Edge Radius of Cutting Tool from Surface Tension Between Solid Materials |
|
||
Tohru Ihara, Yukio Takahashi, and Xiaoqi Song |
Paper: | pp. 431-447 | ||
Analytical Model for Studying the Influence of Thickness on the Protective Effect |
|
||
Xiaoqi Song, Yukio Takahashi, Weiming He, and Tohru Ihara |
Paper: | pp. 448-456 | ||
Machining Temperature and Accuracy of Magnesium Alloy AZ31 with Deep-Hole Small Drilling |
|
||
Takashi Inoue, Masahiro Hagino, Kazushige Tokuno, Ryo Tsuboi, and Kei Somaya |
Paper: | pp. 457-465 | ||
Effect of Vibration Direction of Ultrasonic Vibrating Cutting Edge on Internal Stress Fluctuation of Workpiece |
|
||
Hiromi Isobe, Masatoshi Okuda, Keisuke Hara, and Jun Ishimatsu |
Paper: | pp. 466-474 | ||
Control of Fine Cutting Chips to Improve the Processing Environment in CFRP Drilling |
|
||
Masahiro Hagino, Takashi Inoue, Kazushige Tokuno, Takeshi Nishiwaki, and Junji Miyamoto |
Paper: | pp. 475-482 | ||
Machinability Investigation for Cellulose Nanofiber-Reinforced Polymer Composite by Ultraprecision Diamond Turning |
|
||
Yu Kamada and Jiwang Yan |
Paper: | pp. 483-491 | ||
Morphology of Cleaved Surface and Observation of In Situ Crack Propagation During Cleaving |
|
||
Soshi Iwatsuki, Hirofumi Hidai, Souta Matsusaka, Akira Chiba, and Noboru Morita |
Paper: | pp. 492-502 | ||
First Step Toward Laser Micromachining Realization by Photonic Nanojet in Water Medium |
|
||
Reza Aulia Rahman, Tsutomu Uenohara, Yasuhiro Mizutani, and Yasuhiro Takaya |
Technical Paper: | pp. 503-511 | ||
Study on the SUAM Double Magnet System for Polishing |
|
||
Tatsuya Nakasaki, Yushi Kinoshita, Panart Khajornrungruang, Edmund Soji Otabe, and Keisuke Suzuki |
Paper: | pp. 512-520 | ||
Optimization in Milling of Polymer Materials for High Quality Surfaces |
|
||
Ryota Uchiyama, Yuki Inoue, Fumihiro Uchiyama, and Takashi Matsumura |
Paper: | pp. 521-528 | ||
Generation Method of Cutting Tool Paths for High-Speed and High-Quality Machining of Free-Form Surfaces |
|
||
Yuki Takanashi, Hideki Aoyama, and Song Cheol Won |
Paper: | pp. 529-536 | ||
Measurement Range Expansion of Chromatic Confocal Probe with Supercontinuum Light Source |
|
||
Hiraku Matsukuma, Ryo Sato, Yuki Shimizu, and Wei Gao |
Technical Paper: | pp. 537-545 | ||
A Study on Optimal Voltage of Electromagnet for Precision Measuring Robot During Surface Roughness Measurement by Vibration Analysis |
|
||
Kazuhide Tanaka, Dan Nakaya, Yuki Kondo, and Ichiro Yoshida |
Regular Papers
Paper: | pp. 547-552 | ||
Electrical System Design and Fault Analysis of Machine Tool Based on Automatic Control |
|
||
Yiping Yang, Hongyan Wu, and Jianmin Ma |
No.3
(May)
Special Issue on Digital Geometry Processing for Large-Scale Structures and Environments
Special Issue on Digital Geometry Processing for Large-Scale Structures and Environments
Editorial: | p. 257 | |
Digital Geometry Processing for Large-Scale Structures and Environments |
| |
Hiroaki Date, Tomohiro Mizoguchi, and Kiichiro Ishikawa | ||
The application of digital geometry processing is undergoing an extension from small industrial products to large-scale structures and environments, including plants, factories, ships, bridges, buildings, forests, and indoor/outdoor/urban environments. This extension is being supported by recent advances in long-range 3D laser scanning technology. Laser scanners are mounted on various platforms, such as tripods, wheeled vehicles, airplanes, and UAVs, and the laser scanning systems are used to efficiently acquire dense and accurate digitized 3D data of the geometry, called point clouds, of large-scale structures and environments. As another technology for the acquisition of digital 3D data of structures and environments, 3D reconstruction methods from digital images are also attracting a great deal of attention because of their flexibility. The utilization of digital 3D data for various purposes still has many challenges, however, in terms of data processing. The extraction of accurate and meaningful information from the data is an especially important and difficult problem, and many studies on object and scene recognition are being conducted in many fields. How to acquire useful and high-quality digital 3D data of large-scale structures and environments is another problem to be solved for digital geometry processing to be widely used. This special issue addresses the latest research advances in digital geometry processing for large-scale structures and environments. It covers a broad range of topics in geometry processing, including new technologies, systems, and reviews for 3D data acquisition, recognition, and modeling of ships, factories, plants, forests, river dikes, and urban environments. The papers will help the readers explore and share their knowledge and experience in technologies and development techniques in this area. All papers were refereed through careful peer reviews. We would like to express our sincere appreciation to the authors for their excellent submissions and to the reviewers for their invaluable efforts in producing this special issue. |
Paper: | pp. 258-267 | ||
Extraction of Guardrails from MMS Data Using Convolutional Neural Network |
|
||
Hiroki Matsumoto, Yuma Mori, and Hiroshi Masuda |
Paper: | pp. 268-273 | ||
Classification of Grass and Forb Species on Riverdike Using UAV LiDAR-Based Structural Indices |
|
||
Naoko Miura, Tomoyo F. Koyanagi, Susumu Yamada, and Shigehiro Yokota |
Paper: | pp. 274-289 | ||
Research on Identification of Road Features from Point Cloud Data Using Deep Learning |
|
||
Yoshimasa Umehara, Yoshinori Tsukada, Kenji Nakamura, Shigenori Tanaka, and Koki Nakahata |
Technical Paper: | pp. 290-300 | ||
Development of Support System for Ship-Hull Plate Forming Using Laser Scanner |
|
||
Masahito Takezawa, Kohei Matsuo, and Takahiro Ando |
Review: | pp. 301-312 | ||
Introduction of All-Around 3D Modeling Methods for Investigation of Plants |
|
||
Nobuo Kochi, Sachiko Isobe, Atsushi Hayashi, Kunihiro Kodama, and Takanari Tanabata |
Technical Paper: | pp. 313-323 | ||
Forest Data Collection by UAV Lidar-Based 3D Mapping: Segmentation of Individual Tree Information from 3D Point Clouds |
|
||
Taro Suzuki, Shunichi Shiozawa, Atsushi Yamaba, and Yoshiharu Amano |
Paper: | pp. 324-333 | ||
Study on Real-Time Point Cloud Superimposition on Camera Image to Assist Environmental Three-Dimensional Laser Scanning |
|
||
Kenta Ohno, Hiroaki Date, and Satoshi Kanai |
Regular Papers
Paper: | pp. 335-342 | ||
Monitoring of Vibrations in Free-Form Surface Processing Using Ball Nose End Mill Tools with Wireless Tool Holder Systems |
|
||
Takamasa Yamamoto, Ryo Matsuda, Masatoshi Shindou, Toshiki Hirogaki, and Eiichi Aoyama |
Paper: | pp. 343-349 | ||
Effect of Strain-Rate on Forming Limit Strain of Aluminum Alloy and Mild Steel Sheets Under Strain Path Change |
|
||
Minoru Yamashita, Shohei Komuro, and Makoto Nikawa |
Paper: | pp. 350-358 | ||
Prompt Estimation of Die and Mold Machining Time by AI Without NC Program |
|
||
Hiroki Takizawa, Hideki Aoyama, and Song Cheol Won |
Paper: | pp. 359-365 | ||
Evaluation of Residual Stress in Die Castings of Al-Si-Cu Alloy Considering Material Composition Change in Thickness Direction |
|
||
Makoto Nikawa, Daichi Sasai, Yoshiki Mizutani, and Minoru Yamashita |
Paper: | pp. 366-374 | ||
Design of an Arc-Core Moving Mechanism for Injection Molding Using a Link and Cam Mechanism |
|
||
Takashi Harada, Naomichi Tanaka, and Takayuki Fujitsuka |
No.2
(Mar)
Special Issue on Application of Robot and AI
Special Issue on Application of Robot and AI
Editorial: | p. 139 | |
Application of Robot and AI |
| |
Naoki Asakawa | ||
Due to changes in the global industrial structure, the number of employees in the manufacturing industry has decreased in developed countries. One of solutions to this situation offered in Industry 4.0 is “the utilization of robots and AI as alternatives to skilled workers.” This solution has been applied to various operations conventionally performed by skilled workers and has yielded consistent results. A skilled worker has two skills, namely, “physical operation skill” and “decision making skill,” which correspond to the utilization of robots and AI, respectively. Conventionally, robots have simply played back programs they were taught. However, owing to feedback technologies using force, position, or various other sensors, robots have come to be able to perform smart operations. In some of these, the capabilities of robots exceed those of human workers. For example, while humans are highly adaptive to various operations, it is difficult for them to maintain a constant force or position for long periods of time. Generally, humans make decisions about operations according to their experience, and this experience is gained from many instances of trial and error. Now, the trial-and-error learning of AI has become significantly superior to that of humans in terms of both number and speed. As a result, many systems can find operational strategies or answers much faster than humans can. This special issue features papers on robot hands, path planning, kinematics, and AI. Papers related to robot hands present an actuator using new principles, new movements, and the realization of the precise sense of the human hand. Papers related to path planning present path generation on the basis of CAD data, path generation using image processing, automatic path generation on the basis of environmental information, and the prediction of error and correction. Path generation using VR technology and error compensation using an AI technique are also presented. A paper related to kinematics presents the analysis and evaluation of a new mechanism with the aim of new applications in th...<more> |
Paper: | pp. 140-148 | ||
Automated Screwing of Fittings in Pneumatic Manifolds |
|
||
Michele Gabrio Antonelli and Pierluigi Beomonte Zobel |
Paper: | pp. 149-157 | ||
Automated Process Planning System for End-Milling Operation by CAD Model in STL Format |
|
||
Isamu Nishida and Keiichi Shirase |
Paper: | pp. 158-167 | ||
Planning to Flip Heavy Objects Considering Soft-Finger Contacts |
|
||
Mohamed Raessa, Weiwei Wan, Keisuke Koyama, and Kensuke Harada |
Paper: | pp. 168-181 | ||
An Ontology-Based Method for Semi-Automatic Disassembly of LCD Monitors and Unexpected Product Types |
|
||
Gwendolyn Foo, Sami Kara, and Maurice Pagnucco |
Paper: | pp. 182-190 | ||
Localization System for Indoor Mobile Robot Using Large Square-Shaped Reflective Marker |
|
||
Hiroaki Seki, Ken Kawai, and Masatoshi Hikizu |
Report: | pp. 191-196 | ||
Deburring of Resin Molded Products by Sensorless Shape-Tracing Deburring Technology (On the Principle of Sensorless Shape-Tracing Deburring) |
|
||
Norio Tanaka |
Technical Paper: | pp. 197-205 | ||
Offline Direct Teaching for a Robotic Manipulator in the Computational Space |
|
||
Satoshi Makita, Takuya Sasaki, and Tatsuhiro Urakawa |
Paper: | pp. 206-214 | ||
Predicting Positioning Error and Finding Features for Large Industrial Robots Based on Deep Learning |
|
||
Daiki Kato, Kenya Yoshitsugu, Toshiki Hirogaki, Eiichi Aoyama, and Kenichi Takahashi |
Paper: | pp. 215-223 | ||
Forward Kinematics Model for Evaluation of Machining Performance of Robot Type Machine Tool |
|
||
Akio Hayashi, Hiroto Tanaka, Masato Ueki, Hidetaka Yamaoka, Nobuaki Fujiki, and Yoshitaka Morimoto |
Regular Papers
Paper: | pp. 225-233 | ||
Profile Measurement Using Confocal Chromatic Probe on Ultrahigh Precision Machine Tool |
|
||
Hao Duan, Shinya Morita, Takuya Hosobata, Masahiro Takeda, and Yutaka Yamagata |
Technical Paper: | pp. 234-242 | ||
Study on Polishing Method Using Magnetic Levitation Tool in Superconductive-Assisted Machining |
|
||
Hidetaka Nakashima, Tatsuya Nakasaki, Tatsuhiro Tanaka, Yushi Kinoshita, Yuki Tanaka, Panart Khajornrungruang, Edmund Soji Otabe, and Keisuke Suzuki |
Technical Paper: | pp. 243-248 | ||
Design of an Intelligent Greenhouse Remote Control System Based on a Fuzzy Neural Network |
|
||
Yajuan Jia |
No.1
(Jan)
Special Issue on Advances in Abrasive Technology
Special Issue on Advances in Abrasive Technology
Editorial: | p. 3 | |
Advances in Abrasive Technology |
| |
Kazuhito Ohashi, Hirofumi Suzuki, and Takazo Yamada | ||
As abrasive technologies are currently indispensable for production processes in the automotive, aerospace, optics, telecommunications, and healthcare industries, among others, it is essential that the application of abrasive processing to production be optimized and improved. To those ends, it is necessary to understand how to approach the task, as there are many processing factors to consider. However, priority is given to understanding the abrasive processing mechanism that determine finishing results, as well as the relationship between the processing factors and individual conditions. Measurement, analysis, and evaluation technologies are also important. Furthermore, the development of new abrasive tools or machining fluids and the active use of physicochemical phenomena are key to the development of advanced abrasive technologies. Cutting-edge studies focusing on advanced abrasive technologies were collected for this special issue, which includes 12 papers covering the following topics: - Quantitative evaluation of surface profile of grinding wheel - Elucidation of grinding mechanism, based on grinding force - Novel grinding wheel - High-efficiency and high-accuracy grinding of difficult-to-cut materials - Polishing technology using magnetic fluid slurry - Application of ultrasonic waves or ultra-fine bubbles to coolants, and their effects on them - Planarization technology for single-crystal silicon carbide This issue is expected to help its readers to understand recent developments in abrasive technologies and to lead to further research. We deeply appreciate the contributions of all authors and thank the reviewers for their incisive efforts. |
Paper: | pp. 4-16 | ||
Investigation of Optimum Grinding Condition Using cBN Electroplated End-Mill for CFRP Machining |
|
||
Shinnosuke Yamashita, Tatsuya Furuki, Hiroyuki Kousaka, Toshiki Hirogaki, Eiichi Aoyama, Kiyofumi Inaba, and Kazuna Fujiwara |
Paper: | pp. 17-23 | ||
Investigation on Polishing of Zirconia Ceramics Using Magnetic Compound Fluid: Relationship Between Material Removal and Surface Roughness |
|
||
Ming Feng, Youliang Wang, and Yongbo Wu |
Paper: | pp. 24-33 | ||
Effect of Cutting Speed on Shape Recovery of Work Material in Cutting Process of Super-Elastic NiTi Alloy |
|
||
Hao Yang, Katsuhiko Sakai, Hiroo Shizuka, Yuji Kurebayashi, Kunio Hayakawa, and Tetsuo Nagare |
Paper: | pp. 34-40 | ||
Investigation on Feasibility of Polishing Concave Surfaces Using Magnetic Compound Fluid Slurry |
|
||
Ming Feng, Yingrui Xie, Leran Chen, and Yongbo Wu |
Technical Paper: | pp. 41-48 | ||
Development of a Forward-Reverse Rotating cBN Electroplated End Mill Type Tool for Cutting and Grinding CFRP |
|
||
Fumiya Muto, Toshiki Hirogaki, Eiichi Aoyama, Tatsuya Furuki, Kiyofumi Inaba, and Kazuna Fujiwara |
Paper: | pp. 49-56 | ||
Development of Resin Fibrous Grinding Wheels Using Twin Nozzle PELID and Analysis of Their Grinding Performance |
|
||
Satoshi Kashimura, Katsufumi Inazawa, Hitoshi Ohmori, and Nobuhide Itoh |
Paper: | pp. 57-64 | ||
Evaluation of Grinding Wheel Surface Shape on Difference Multiple Helical Dressing Condition |
|
||
Gen Uchida, Takazo Yamada, Kouichi Ichihara, Makoto Harada, Kohichi Miura, and Hwa-Soo Lee |
Paper: | pp. 65-73 | ||
Improvement of Removal Rate of Tape Lapping by Applying Fluid with Ultrasonic Excited Cavitation |
|
||
Hiromi Isobe, Soutarou Tsuji, Keisuke Hara, and Jun Ishimatsu |
Paper: | pp. 74-79 | ||
Photoelectrochemical Oxidation Assisted Catalyst-Referred Etching for SiC (0001) Surface |
|
||
Daisetsu Toh, Pho Van Bui, Kazuto Yamauchi, and Yasuhisa Sano |
Paper: | pp. 80-88 | ||
Measurements of Non-Grinding Forces and Power |
|
||
Zhongde Shi and Helmi Attia |
Technical Paper: | pp. 89-98 | ||
Study on Grinding of Hypocycloid-Curved Rotor Made of Alumina Ceramics with a Small-Diameter Ball-End Electroplated Diamond Grinding Wheel |
|
||
Takumi Imada, Tadashi Makiyama, Heisaburo Nakagawa,Yoshihide Hasegawa, Kenji Tomoda, and Keiji Ogawa |
Paper: | pp. 99-108 | ||
Effect of Ultrafine Bubbles on Pseudomonas Aeruginosa and Staphylococcus Aureus During Sterilization of Machining Fluid |
|
||
Hiroko Yamada, Kensuke Konishi, Keita Shimada, Masayoshi Mizutani, and Tsunemoto Kuriyagawa |
Regular Papers
Paper: | pp. 109-122 | ||
Fault-Tolerant Aircraft Control Based on Self-Constructing Fuzzy Neural Network for Quadcopter |
|
||
Dejie Li, Pu Yang, Zhangxi Liu, Zixin Wang, and Zhiqing Zhang |
Paper: | pp. 123-130 | ||
Investigation of the Surface Roughness in Infeed Centerless Grinding of SCM435 Steel |
|
||
Do Duc Trung and Nhu-Tung Nguyen |
Vol.14 (2020)
No.6
(Nov)
The Best Paper Award 2020
Special Issue on Design and Manufacturing for Environmental Sustainability
The Best Paper Award 2020
Award: | pp. 853-854 | |
Congratulations! The Best Paper Award 2020 |
| |
Editorial Office |
Special Issue on Design and Manufacturing for Environmental Sustainability
Editorial: | pp. 855-856 | |
Design and Manufacturing for Environmental Sustainability |
| |
Yasushi Umeda | ||
This is the fifth Special Issue on Design and Manufacturing for Environmental Sustainability. The first Special Issue on this topic was issued in 2009, and the previous one was in 2018. The acceptance of sustainability has been increasing, as evidenced by the United Nations’ Sustainable Development Goals (SDGs), various carbon neutral movements, and, among others, the gradual recognition of potential impacts of the EU’s “Circular Economy,” which promotes circulation-based businesses to increase the employment and market competitiveness of the EU. This increase in acceptance has brought with it increased activity in the research area of design and manufacturing for environmental sustainability, with the result that this fifth Special Issue includes seventeen well-written papers, a significant increase over the six that appeared in the fourth. The first paper “Potential Impacts of the European Union’s Circular Economy Policy on Japanese Manufacturers” overviews the EU’s Circular Economy and points out key enabling technologies. To approach environmental sustainability, we should promote various technologies related to ecodesign, process technologies, business strategy, and digital technology. At the same time, we must focus on life cycle design and management, an indispensable technology which synthesizes a sustainable circulation system by integrating the technologies mentioned above. Accordingly, this Special Issue covers both aspects, with the seventeen manuscripts in it organized as follows. The first three papers, authored by Y. Umeda et al., K. Halada, and M. Kojima, give overviews and discuss requirements for technological development. The next two manuscripts by K. Fujimoto et al. and Y. Kikuchi et al. discuss modeling, simulation, and assessment of circulation systems. Papers six to eight, written by W.-H. Chung et al., S. Yamada et al., and K. Yoda et al. develop life cycle design methods. The remaining manuscripts advance fundamental technologies. Manuscripts nine to eleven, by R. Yonemoto et al., T. Samukawa et al., and Y. Yaguchi et al., deal with sustain...<more> |
Paper: | pp. 857-866 | ||
Potential Impacts of the European Union’s Circular Economy Policy on Japanese Manufacturers |
|
||
Yasushi Umeda, Kazunori Kitagawa, Yayoi Hirose, Keiko Akaho, Yuko Sakai, and Makoto Ohta |
Technical Paper: | pp. 867-872 | ||
Activities of Circular Economy in Japan - Towards Global Multi-Value Circulation – |
|
||
Kohmei Halada |
Review: | pp. 873-881 | ||
The Impact of Recyclable Waste Trade Restrictions on Producer Recycling Activities |
|
||
Michikazu Kojima |
Paper: | pp. 882-889 | ||
Data Assimilation Mechanism for Lifecycle Simulation Focusing on Process Behaviors |
|
||
Kazuho Fujimoto, Shinichi Fukushige, and Hideki Kobayashi |
Review: | pp. 890-908 | ||
Defining Requirements on Technology Systems Assessment from Life Cycle Perspectives: Cases on Recycling of Photovoltaic and Secondary Batteries |
|
||
Yasunori Kikuchi, Aya Heiho, Yi Dou, Izuru Suwa, I-Ching Chen, Yasuhiro Fukushima, and Chiharu Tokoro |
Paper: | pp. 909-918 | ||
Packaging Evaluation of Consumer Electronics Products from Economic, Logistical, and Environmental Perspectives |
|
||
Wu-Hsun Chung and Pei-Cheng Wu |
Paper: | pp. 919-929 | ||
Decision Support Method for Upgrade Cycle Planning and Product Architecture Design of an Upgradable Product |
|
||
Shuho Yamada, Shogo Miyajima, Tetsuo Yamada, Stefan Bracke, and Masato Inoue |
Paper: | pp. 930-942 | ||
Remanufacturing Option Selection with Disassembly for Recovery Rate and Profit |
|
||
Kazuki Yoda, Hayate Irie, Yuki Kinoshita, Tetsuo Yamada, Shuho Yamada, and Masato Inoue |
Paper: | pp. 943-950 | ||
Task Scheduling of Material-Handling Manipulator for Enhancing Energy Efficiency in Flow-Type FMS |
|
||
Ryo Yonemoto and Haruhiko Suwa |
Paper: | pp. 951-958 | ||
Estimation of In-Process Power Consumption in Face Milling by Specific Energy Consumption Models |
|
||
Tetsuo Samukawa, Kazuki Shimomoto, and Haruhiko Suwa |
Paper: | pp. 959-965 | ||
Durability Evaluation of an Additive Manufactured Biodegradable Composite with Continuous Natural Fiber in Various Conditions Reproducing Usage Environment |
|
||
Yuta Yaguchi, Kenji Takeuchi, Tadashi Waragai, and Toshitake Tateno |
Paper: | pp. 966-974 | ||
Copper/Silver Recovery from Photovoltaic Panel Sheet by Electrical Dismantling Method |
|
||
Chiharu Tokoro, Soowon Lim, Yukihiro Sawamura, Masataka Kondo, Kazuhiro Mochidzuki, Taketoshi Koita, Takao Namihira, and Yasunori Kikuchi |
Paper: | pp. 975-983 | ||
Evaluation of Environmental Impact of Car Sharing in Consideration of Uncertainty of Influential Variables |
|
||
Katsuya Tsuji, Kiyo Kurisu, Jun Nakatani, and Yuichi Moriguchi |
Paper: | pp. 984-998 | ||
Environmental and Economic Evaluation of a Mechanical Biological Treatment System for a Small and Medium-Sized Waste Treatment Facility Considering the Karatsu Smart Disaster-Resilience Base Construction Project |
|
||
Akihisa Ogawa, Andante Hadi Pandyaswargo, Daiki Yoshidome, and Hiroshi Onoda |
Development Report: | pp. 999-1004 | ||
Environmentally Sound Recovery of Gold from Waste Electrical and Electronic Equipment Using Organic Aqua Regia |
|
||
Akihiro Yoshimura, Kota Takatori, and Yasunari Matsuno |
Paper: | pp. 1005-1012 | ||
Model-Based Deterioration Estimation with Cyber Physical System |
|
||
Tomoaki Hiruta and Yasushi Umeda |
Paper: | pp. 1013-1024 | ||
Method of Priority Order for Simultaneous Solar-Derived Power Usage at a Solar-Powered House and Neighborhood |
|
||
Satoko Nasu, Shota Tajima, and Yasuo Sugai |
Regular Papers
Paper: | pp. 1025-1035 | ||
The Detection of Unfused Powder in EBM and SLM Additive Manufactured Components |
|
||
Ahmed Tawfik, Mohamed Radwan, Mazen Ahmed Attia, Paul Bills, Radu Racasan, and Liam Blunt |
Paper: | pp. 1036-1044 | ||
Automated Tool Path Generation for Roughing Using Flat Drill |
|
||
Isamu Nishida, Hidenori Nakatsuji, and Keiichi Shirase |
Paper: | pp. 1045-1050 | ||
High Speed Machining of Inconel 718 with High Pressure Coolant Focusing on Material Structures of CBN Tools |
|
||
Liu Chi Hsin, Tatsuya Sugihara, and Toshiyuki Enomoto |
Paper: | pp. 1051-1061 | ||
Theoretical Verification of Film Forming in Local Electroplating Process with Electrolyte Suction Tool |
|
||
Atsushi Sato and Wataru Natsu |
No.5
(Sep)
Special Issue on Value Creation in Production
Special Issue on Value Creation in Production
Editorial: | p. 677 | |
Value Creation in Production |
| |
Toshiya Kaihara and Nariaki Nishino | ||
With the recent development of new technologies such as the Internet of Things (IoT), Cyber-Physical Systems (CPS), and cloud-based systems, the smart manufacturing concept based on ICT or AI is expected to have tremendous potential to realize a digital transformation with customer involvement in production. The role of production will need to change accordingly, as it is obvious that the traditional business model based on process chains for production functionality has limitations for further growth. In production, it is necessary to consider value chains with service factors for adding innovative value to products. Value creation is an important concept to the realization of a sustainable ecosystem in production. This special issue addresses the latest research on value creation in production and service systems. Including ten advanced research papers and one development report, it covers a wide range of topics, including smart factories, logistics, distribution with value chains; product service systems; sustainable ecosystems with value in production and service industries; the sharing economy in production systems with cloud computing; the application of digital transformations in production and service systems. All papers and reports were refereed through careful peer reviews with experts. The editors deeply appreciate the authors for their careful work and the reviewers for their invaluable efforts, without which this special issue would not have been possible. Finally, we hope this special issue provides valuable information to our interested readers and encourages further research on value creation in production. |
Paper: | pp. 678-689 | ||
A Strategic Design Guideline for Open Business Models |
|
||
Yusuke Tsutsui, Nao Yamada, Yuya Mitake, Mar’atus Sholihah, and Yoshiki Shimomura |
Paper: | pp. 690-699 | ||
Ontological Descriptions for Integrating Design Information of Product-Service Systems |
|
||
Koji Kimita, Keiichi Muramatsu, and Yutaro Nemoto |
Paper: | pp. 700-712 | ||
Digital Twin of Artifact Systems: Models Assimilated with Monitoring Data from Material Microstructures to Social Systems |
|
||
Taira Okita, Tomoya Kawabata, Hideaki Murayama, Nariaki Nishino, and Masaatsu Aichi |
Paper: | pp. 713-722 | ||
Automatic Construction of Virtual Supply Chain as Multi-Agent System Using Enterprise E-Catalogues |
|
||
Tatsushi Nishi, Michiko Matsuda, Mao Hasegawa, Roghayyeh Alizadeh, Ziang Liu, and Takuto Terunuma |
Paper: | pp. 723-733 | ||
Collaboration Strategy for a Decentralized Supply Chain Using Linear Physical Programming |
|
||
Tomoaki Yatsuka, Aya Ishigaki, Surendra M. Gupta, Yuki Kinoshita, Tetsuo Yamada, and Masato Inoue |
Paper: | pp. 734-743 | ||
Computational Study on Strategyproofness of Resource Matching in Crowdsourced Manufacturing |
|
||
Takafumi Chida, Toshiya Kaihara, Nobutada Fujii, Daisuke Kokuryo, and Yuma Shiho |
Paper: | pp. 744-756 | ||
Development of Production Internet Framework for Value Creation |
|
||
Stanisław Strzelczak, Rong Kang, and Fernando Castaño |
Paper: | pp. 757-768 | ||
Simultaneous Determination of Theatrical Casting and Ticket Distribution Using Scheduling Auction |
|
||
Shota Suginouchi, Yuna Takahashi, Yosuke Kurihara, and Hajime Mizuyama |
Paper: | pp. 769-778 | ||
Patterns for Living Lab Practice: Describing Key Know-How to Promote Service Co-Creation with Users |
|
||
Fumiya Akasaka, Mika Yasuoka, Momoko Nakatani, Atsunobu Kimura, and Masayuki Ihara |
Paper: | pp. 779-790 | ||
Text Mining to Support Consulting Services for Client Company State Recognition |
|
||
Ruriko Watanabe, Nobutada Fujii, Daisuke Kokuryo, Toshiya Kaihara, and Yoichi Abe |
Development Report: | pp. 791-799 | ||
Continuous Efforts Leads to a Value for Hypertensive Patients: Development of a Casual Smart Na/K Meter and Smart Na/K Application Linked by NFC to Android |
|
||
Kenju Akai, Tetsuya Hirotomi, Aoi Mishima, Keiko Aoki, Tsunetaka Kijima, and Toru Nabika |
Regular Papers
Paper: | pp. 801-807 | ||
Transcriptional Characteristics of Quadrant Glitches on Machined Surface – Influence of Tool Diameter and Feed Rate – |
|
||
Tadahiro Nishiguchi |
Paper: | pp. 808-815 | ||
Tool Path Generation for 5-Axis Rough Cutting Using Haptic Device |
|
||
Koichi Morishige and Satoshi Mori |
Paper: | pp. 816-823 | ||
Improved Algorithm to Trace Boundary Curves on Two-Dimensional Square Meshes |
|
||
Masatomo Inui, Munekazu Kawano, Issei Watanabe, and Nobuyuki Umezu |
Paper: | pp. 824-834 | ||
Relationship Between Forced Vibration Method and Residual Stress in Die Materials |
|
||
Masashi Kurose, Hiromasa Anahara, Takeshi Tane, Yoshihide Kuwabara, Kenta Aoshima, and Tetsushi Kaburagi |
Paper: | pp. 835-842 | ||
Solid Fraction Examination at Flow Cessation and Flow Cessation Mechanism of Al-Si-Mg Alloy |
|
||
Makoto Nikawa, Yu Iba, and Minoru Yamashita |
No.4
(Jul)
Special Issue on Laser-Based/Assisted Manufacturing
Special Issue on Laser-Based/Assisted Manufacturing
Editorial: | p. 533 | |
Laser-Based/Assisted Manufacturing |
| |
Tsunemoto Kuriyagawa and Masayoshi Mizutani | ||
The “process chain” concept for the integration of multiple manufacturing processes has been attracting attention in the field of manufacturing in recent years. In a number of specialized fields, laser-based processes in particular are actively being studied, as their high flexibility allows them to be used not only as individual manufacturing processes but also in combination to develop new ones. Most of the practical laser technologies involve heat, which can be used for thermal processing to change surface properties or for removal processing. In recent years, lasers have also been used as a heat source for additive manufacturing, as well as ultra-short-pulsed lasers being applied to non-thermal processes. This special issue features various studies and reports that present the latest advances as well as current challenges in laser-based/assisted manufacturing. It includes nine related papers that indicate the possibilities and future of new laser processing technologies. We deeply appreciate all the authors and reviewers for their efforts and contributions, and we also hope this special issue will encourage further research on laser-based/assisted manufacturing. |
Paper: | pp. 534-545 | ||
Processing with Application of High-Power Semiconductor Laser – Theoretical Analysis of Heat Source and Application to Surface Processing – |
|
||
Takeji Arai |
Paper: | pp. 546-551 | ||
Fabrication of a Two-Dimensional Diffraction Grating with Isolated Photoresist Pattern Structures |
|
||
Hiraku Matsukuma, Masanori Matsunaga, Kai Zhang, Yuki Shimizu, and Wei Gao |
Paper: | pp. 552-559 | ||
Effects of Pulse Duration and Heat on Laser-Induced Periodic Surface Structures |
|
||
Shuhei Kodama, Keita Shimada, Masayoshi Mizutani, and Tsunemoto Kuriyagawa |
Technical Paper: | pp. 560-567 | ||
A Novel Platform for Smart 3D Manufacturing System |
|
||
Gianluca Melis, Paolo Sirianni, Andrea Porceddu, Massimiliano Messere, Michele Perlo, Luca Orbech, Stefano Mauro, Matteo Gaidano, Leonardo Sabatino Scimmi, Matteo Melchiorre, Francesco Perrucci, and Luciano Scaltrito |
Paper: | pp. 568-574 | ||
Evolution of Chip-Deformation Mechanisms with Increasing Temperature in Laser-Assisted Microcutting of Amorphous Alloy |
|
||
Qingrui Gong, Pei Qiu, and Shaolin Xu |
Paper: | pp. 575-581 | ||
Generation of Biocompatible Titanium Alloy Surfaces Including Calcium and Phosphorus Elements by Laser-Induced Mist Spraying Wet Treatment |
|
||
Atsushi Ezura, Kazutoshi Katahira, and Jun Komotori |
Paper: | pp. 582-591 | ||
Porosity and Tensile Properties of Rhizoid Porous Structure Fabricated Using Selective Laser Melting |
|
||
Shinji Ishibashi, Keita Shimada, Hiroyasu Kanetaka, Masaki Tsukuda, Takumi Mizoi, Masataka Chuzenji, Shoichi Kikuchi, Masayoshi Mizutani, and Tsunemoto Kuriyagawa |
Technical Paper: | pp. 592-600 | ||
Influence of Grooved Plate Cross-Sectional Shape on Bending Phenomena in Laser-Quenching Forming Process |
|
||
Yuki Manabe, Hiromichi Nishida, Toshiki Hirogaki, and Eiichi Aoyama |
Paper: | pp. 601-613 | ||
Study on the Creation of Fine Periodic Structure on V-Shaped Groove with Short-Pulsed Laser |
|
||
Ryohei Takase, Shuhei Kodama, Keita Shimada, Holger Mescheder, Kai Winands, Jan Riepe, Kristian Arntz, Masayoshi Mizutani, and Tsunemoto Kuriyagawa |
Regular Papers
Paper: | pp. 615-624 | ||
Experimental Analysis and Anti-Sway Control of Jigiri Behavior in a Nursing Lift |
|
||
Kazuhiro Funato, Yuichiro Kenmotsu, Ryosuke Tasaki, Toshio Sakakibara, Kiyoaki Kakihara, and Kazuhiko Terashima |
Paper: | pp. 625-632 | ||
Hydraulic Micro Device with Force Sensing for Measurement of Mechanical Characteristics |
|
||
Tohru Sasaki, Yudai Fujiwara, Kaoru Tachikawa, Kenji Terabayashi, and Kuniaki Dohda |
Paper: | pp. 633-643 | ||
Study of the Warp Removal Process for a Thin Substrate: Development of a Correction Processing System Using a Freezing Pin Chuck |
|
||
Kenichiro Yoshitomi and Atsunobu Une |
Paper: | pp. 644-653 | ||
Effective Optical System Assembly Using Ultra-Precise Manufactured References |
|
||
Andreas Gebhardt, Matthias Beier, Erik Schmidt, Thomas Rendel, Ute Gawronski, and Eyk Gebhardt |
Paper: | pp. 654-664 | ||
Measurement and Compensation of Tool Contour Error Using White Light Interferometry for Ultra-Precision Diamond Turning of Freeform Surfaces |
|
||
Kodai Nagayama and Jiwang Yan |
No.3
(May)
Special Issue on Machine Accuracy Evaluation
Special Issue on Machine Accuracy Evaluation
Editorial: | p. 359 | |
Machine Accuracy Evaluation |
| |
Soichi Ibaraki and Andreas Archenti | ||
The accuracy of a three-dimensional (3D) positioning system can ultimately be evaluated via measurement of a 3D vector between command and actual end-effector positions at arbitrary points over the entire workspace. This is a simple, yet challenging, metrological problem. The motion accuracy of a machine tool is traditionally evaluated on an axis-to-axis basis, with every error motion of every axis being independently measured as part of a one-dimensional measurement process in a different setup. Toward the ultimate goal of 3D position measurement over the entire workspace, research efforts have offered several new, practical measurement technologies. This special issue covers the technical and academic efforts regarding the evaluation of machine tool accuracy. The papers in this special issue clarify the latest research frontiers regarding machine tool accuracy from a metrological viewpoint. In the first paper, by Montavon et al., error calibration technologies and their management are reviewed within the Internet of production concept. Long-term accuracy monitoring and management are clearly among the most crucial technical challenges faced regarding machine tools, and the work by Xing et al. is related to them. Ibaraki et al. presented machining tests to evaluate the thermal distortion of a machine tool. Peukert et al. studied the dynamic interaction between machine tools and their foundations. Various 3D measurement schemes for determining machine error motions have been investigated by many researchers, and some have been implemented in industrial applications. Kenno et al. and Florussen et al. investigated 3D measurement using the R-test for five-axis machines. Miller et al. studied simultaneous measurement of six-degree-of-freedom error motions of a linear axis. Nagao et al. presented an error calibration method for a parallel kinematic machine tool. The editors appreciate the contributions of all the authors, as well as the work of the reviewers. We are confident that this special issue will further encourage research and engineering work for improving the accuracy and performance of machine tools. |
Review: | pp. 360-368 | ||
A Digital Perspective on Machine Tool Calibration |
|
||
Benjamin Montavon, Philipp Dahlem, Martin Peterek, and Robert H. Schmitt |
Paper: | pp. 369-379 | ||
Impact of Model Complexity in the Monitoring of Machine Tools Condition Using Volumetric Errors |
|
||
Kanglin Xing, J. R. R. Mayer, and Sofiane Achiche |
Paper: | pp. 380-385 | ||
Machining Tests to Evaluate Machine Tool Thermal Displacement in Z-Direction: Proposal to ISO 10791-10 |
|
||
Soichi Ibaraki and Rin Okumura |
Paper: | pp. 386-398 | ||
Dynamic Interaction Between Precision Machine Tools and Their Foundations |
|
||
Bernd W. Peukert and Andreas Archenti |
Paper: | pp. 399-408 | ||
Identification Method of Error Motions and Geometric Errors of a Rotary Axis by R-Test |
|
||
Takaaki Kenno, Ryuta Sato, Keiichi Shirase, Shigemasa Natsume, and Henny Spaan |
Technical Paper: | pp. 409-416 | ||
Automating Accuracy Evaluation of 5-Axis Machine Tools |
|
||
Guido Florussen, Koen Houben, Henny Spaan, and Theresa Spaan-Burke |
Paper: | pp. 417-428 | ||
Simultaneous Constant Velocity Measurement of the Motion Errors of Linear Axes |
|
||
Jonathan Miller, Simon Fletcher, Andrew Longstaff, and Simon Parkinson |
Technical Paper: | pp. 429-437 | ||
Calibration Method of Parallel Mechanism Type Machine Tools |
|
||
Keisuke Nagao, Nobuaki Fujiki, Yoshitaka Morimoto, and Akio Hayashi |
Regular Papers
Paper: | pp. 439-446 | ||
Development of an Additive Manufactured Artifact to Characterize Unfused Powder Using Computed Tomography |
|
||
Ahmed Tawfik, Paul Bills, Liam Blunt, and Radu Racasan |
Paper: | pp. 447-458 | ||
Solution of the Rectangular Strip Packing Problem Considering a 3-Stage Guillotine Cutting Constraint with Finite Slitter Blades |
|
||
Masao Sugi, Yusuke Shiomi, Tsuyoshi Okubo, Hidetoshi Nagai, Kazuyoshi Inoue, and Jun Ota |
Paper: | pp. 459-466 | ||
Machining Time Reduction by Tool Path Modification to Eliminate Air Cutting Motion for End Milling Operation |
|
||
Isamu Nishida and Keiichi Shirase |
Technical Paper: | pp. 467-474 | ||
Investigation of Internal Thread Cutting Phenomena in Three Axes by Controlling Helical Interpolate Motion Considering Tool Position Information from Servo-Drive |
|
||
Shota Matsui, Nobutoshi Ozaki, Toshiki Hirogaki, Eiichi Aoyama, and Takamasa Yamamoto |
Paper: | pp. 475-483 | ||
Thermal Error Minimization of a Turning-Milling Center with Respect to its Multi-Functionality |
|
||
Martin Mareš, Otakar Horejš, and Jan Hornych |
Paper: | pp. 484-490 | ||
Investigation of Temperature-Induced Errors in XCT Metrology |
|
||
Marko Katić, Nenad Ferdelji, and Danijel Šestan |
Paper: | pp. 491-499 | ||
Development of Scanning Line Tool Path Generation Algorithm Using Boundary Position Information of Approximate Polyhedron of Complex Molds |
|
||
Yuki Saito, Jun’ichi Kaneko, Takeyuki Abe, and Kenichiro Horio |
Paper: | pp. 500-511 | ||
Hilbert-Huang Transform Analysis of Machining Stability in Ball-Nose End-Milling of Curved Surface |
|
||
Muizuddin Azka, Keiji Yamada, Mahfudz Al Huda, Kyosuke Mani, Ryutaro Tanaka, and Katsuhiko Sekiya |
Paper: | pp. 512-520 | ||
Development of Tool Shape Estimation Method Integrating Multidirectional Optical Measurement |
|
||
Mayumi Kaneko, Takahiro Kaminaga, Jun’ichi Kaneko, Kiyohiko Katano, Takeyuki Abe, and Kenichiro Horio |
No.2
(Mar)
Special Issue on Novel Fabrication Processes for Tailored Functional Materials and Surfaces
Special Issue on Advanced Material Driven Design of Machine Tools
Special Issue on Novel Fabrication Processes for Tailored Functional Materials and Surfaces
Editorial: | p. 147 | |
Novel Fabrication Processes for Tailored Functional Materials and Surfaces |
| |
Masahiko Yoshino and Nobuyuki Moronuki | ||
The properties of a mechanical material depend not only on its chemical components but also on the micro/nano structures of its surface and interior. Attempts have been made in recent years to develop new surface/material functions through mechanical processes. For example, technologies to control various characteristics, such as friction, water repellency, and optical properties, have been developed by constructing micro/nano periodic structures on the surfaces of materials. Since these properties depend on the geometry of the surface morphology, micro/nano fabrication processes can produce a variety of properties. This indicates that the surface properties and material properties of portions of the materials can be controlled to reach optimal conditions required by machine product design. This technology is expected to lead to the advanced production of products integrating design, manufacturing, and materials in an organic way. Here, we call the materials and surfaces with their properties arbitrarily controlled in accordance with machine design “tailored functional materials and surfaces.” This special issue features various studies and reports related to tailored functional materials and surfaces, and it includes 12 related papers and a review. They cover processing technologies that create and control various surface functions, such as water repellency, friction, biological and chemical reactions, and optical properties. They indicate the possibilities and future of new precision processing technologies. We deeply appreciate all the authors and reviewers for their efforts and contributions. We also hope that this special issue will encourage further research on tailored functional surfaces. |
Review: | pp. 148-158 | ||
Functional Superhydrophobic Coating Systems for Possible Corrosion Mitigation |
|
||
Sarah F. Jurak, Emil F. Jurak, Md. Nizam Uddin, and Ramazan Asmatulu |
Paper: | pp. 159-166 | ||
Fabrication of Superhydrophobic Stainless Steel Nozzles by Femtosecond Laser Micro-/Nano-Texturing |
|
||
Tatsuhiko Aizawa, Tadahiko Inohara, and Kenji Wasa |
Paper: | pp. 167-174 | ||
Fabrication of Poly-Pyrrole Membrane Actuator for Cell Stimulation |
|
||
Kodai Kawaguchi, Yuto Fujita, Kenta Kato, and Arata Kaneko |
Paper: | pp. 175-183 | ||
Investigation of Corrosion Resistance Enhancement for Biodegradable Magnesium Alloy by Ball Burnishing Process |
|
||
Chenyao Cao, Jiang Zhu, Tomohisa Tanaka, and Dinh Ngoc Pham |
Paper: | pp. 184-189 | ||
Fabrication of SiO2-ZnO Core-Shell Urchin-Like Structure by Hydrothermal Method Using Self-Assembled Particles as Nuclei and Application to UV-Activated Gas Sensors |
|
||
Daiki Funakawa and Nobuyuki Moronuki |
Paper: | pp. 190-199 | ||
New Droplet Removal Polishing Method for Diamond-Like Carbon with Carbon Fiber Brush |
|
||
Motoyuki Murashima, Yusuke Imaizumi, Noritsugu Umehara, and Takayuki Tokoroyama |
Paper: | pp. 200-207 | ||
Fabrication of Optimally Micro-Textured Copper Substrates by Plasma Printing for Plastic Mold Packaging |
|
||
Tatsuhiko Aizawa, Yasuo Saito, Hideharu Hasegawa, and Kenji Wasa |
Paper: | pp. 208-216 | ||
Development of Surface Roughness Generation Model for CFRTP Manufactured by LFT-D |
|
||
Motoyuki Murashima, Takaharu Murooka, Noritsugu Umehara, and Takayuki Tokoroyama |
Paper: | pp. 217-228 | ||
Predicting Surface Roughness of Dry Cut Grey Cast Iron Based on Cutting Parameters and Vibration Signals from Different Sensor Positions in CNC Turning |
|
||
Jonny Herwan, Seisuke Kano, Oleg Ryabov, Hiroyuki Sawada, Nagayoshi Kasashima, and Takashi Misaka |
Paper: | pp. 229-237 | ||
Chemical Lift-Off Process Using Acetone Ink for Easy Fabrication of Metallic Nano/Microstructures |
|
||
Potejana Potejanasak, Truong Duc Phuc, Motoki Terano, Takatoki Yamamoto, and Masahiko Yoshino |
Paper: | pp. 238-244 | ||
Ultrasonic-Assisted Face Milling for Fabricating Hierarchical Microstructures |
|
||
Keita Shimada, Ziqi Chen, Masayoshi Mizutani, and Tsunemoto Kuriyagawa |
Paper: | pp. 245-252 | ||
Surface Formation Behaviors in Wavy Microgroove Cutting on Various Workpiece Materials |
|
||
Toshitaka Terabayashi and Jiwang Yan |
Paper: | pp. 253-259 | ||
Effect of Tool Rake Angle and Crystal Orientation on Ductile Mode Cutting of Hard/Brittle Materials |
|
||
Abdallah Abdelkawy, Masahiko Yoshino, and Yuki Nakagawa |
Special Issue on Advanced Material Driven Design of Machine Tools
Editorial: | pp. 261-263 | |
Advanced Material Driven Design of Machine Tools |
| |
Konrad Wegener and Atsushi Matsubara | ||
The design of machine tools strongly depends on the materials chosen. Increasing requirements on machine tools require the joint optimization of material and design and thus also drive the development of new materials in this field. Digital technologies finally creating a digital shadow of the machine in development also enable the required co-development taking into consideration dynamic, thermal and long term influences and behavior, enabling state and health monitoring to increase the performance of the machine tool to the maximum possible. The choice of material for the different components of machine tools is today even more difficult than ever. The recent review paper by Möhring et al. [1] sheds light on the vast field of properties and decision opportunities of combining materials at hand with design features. In former times, cast iron was the predominant material for machine bodies and has left its footprints on the design of machine tool bodies lasting still up to now. Because massive machine bodies have been the wealth of good properties, high accuracy, stiffness, good material damping properties have been attributed to cast iron design, then with increasing strength requirements higher strength cast irons came into fashion having much less material damping and finally lead to welded frames. Today requirements of dynamics and thermal behavior change the scene again. The goal is to achieve high productivity with high accuracy, which typically is a contradiction. But increasing dynamics requires distinguishing between moving bodies and their non-moving counterparts, and opens the floor for multimaterial design. For moving parts, which have to move with high dynamics meaning, high speed, high acceleration, high jerk, light weight design prevailed with the utilization of standard materials. Because manufacturability plays a major role, the bionic structures have to be degraded to thin walled rib structures as demonstrated in Fig. 1, while in future additive manufacturing will remove that restriction and enable some real bionic structures. Furthermore material choice has a huge impact on...<more> |
Paper: | pp. 264-273 | ||
Investigation of Production of Nanofiber Nonwoven Fabric and its Thermal Properties |
|
||
Wei Wu, Kenichi Urabe, Toshiki Hirogaki, Eiichi Aoyama, and Hiroyoshi Sota |
Paper: | pp. 274-279 | ||
Evaluation of Dynamic Characteristics of a Hybrid Guideway System |
|
||
Isao Oshita, Atsushi Matsubara, and Tsuneto Sumida |
Technical Paper: | pp. 280-293 | ||
Driving Performance of Natural Fiber Gears Made Only from Bamboo Fibers Extracted with a Machining Center |
|
||
Tetsuya Kawabata, Toshiki Hirogaki, Eiichi Aoyama, and Hiromichi Nobe |
Paper: | pp. 294-303 | ||
Evaluation of Machine Tool Spindle Using Carbon Fiber Composite |
|
||
Ryo Kondo, Daisuke Kono, and Atsushi Matsubara |
Development Report: | pp. 304-310 | ||
Latest Machine Tool Structural Design Technology for Ultra-Precision Machining |
|
||
Ryota Shindo and Shinji Nishiwaki |
Paper: | pp. 311-325 | ||
Utilization of CFRP in High-Speed Stamping Presses and its Gigacycle Fatigue Testing at Resonance Frequency |
|
||
Eduard Relea, Varun Urundolil Kumaran, Alberto Sanchez Cebrian, Christian Gschnitzer-Bärnthaler, Markus Zogg, Lukas Weiss, and Konrad Wegener |
Paper: | pp. 326-335 | ||
Design of Lightweight Cutting Tools |
|
||
Andreas Häusler, Kim Torben Werkle, Walther Maier, and Hans-Christian Möhring |
No.1
(Jan)
Special Issue on the Latest Research in Precision Engineering
Special Issue on the Latest Research in Precision Engineering
Editorial: | p. 5 | |
the Latest Research in Precision Engineering |
| |
Yasuhiro Kakinuma, Takashi Matsumura, and Keiichi Nakamoto | ||
Multidisciplinary study and practice of high-precision engineering, metrology, and manufacturing have made a direct contribution to industrial and economic development in the world, providing new value creation and enhancing productivity and product quality. This special issue focuses on the latest studies in the field of precision engineering. The special issue especially features advanced technologies in the manufacturing process, metrology, machine tools, machine elements, and nano/micro mechanisms. Besides these technologies, to enhance reliability and safety in the production processes, there is a need for usability and functionality based on IoT-related technology, which is represented by Industrie 4.0 or the Industrial Internet. Therefore, many researchers have now begun to focus on cyber-physical production systems (CPPS), which can detect anomalies and self-optimize the production process by comparing actual results extracted from sensors and simulation results. From this viewpoint, advanced research related to CPPS, such as simulation-based technique, sensor-based technology, and in-depth understanding and modeling of the manufacturing process, is covered in this special issue. In this special issue of IJAT, there are 14 research papers on precision-engineering-related topics as mentioned above. The papers, revised and extended according to the editors’ request, were originally presented at the 17th International Conference on Precision Engineering (ICPE2018), held in Kamakura, Japan, in 2018. We express our sincere thanks to the authors and reviewers for their meticulous work in helping publish this special issue. We hope these articles will encourage further research on precision engineering. |
Paper: | pp. 6-17 | ||
Process Knowledge Integrated Assembly Sequence Planning for Control Panel |
|
||
Atsuko Enomoto, Noriaki Yamamoto, Yoshio Yamamura, and Yoshio Sugawara |
Paper: | pp. 18-25 | ||
Applicability of Diamond-Coated Tools for Ball End Milling of Sintered Tungsten Carbide |
|
||
Haruhiko Suwa, Soushi Sakamoto, Masafumi Nagata, Kazuhiro Tezuka, and Tetsuo Samukawa |
Paper: | pp. 26-37 | ||
Experimental Investigations on Cutting Phenomena in Shoulder Cutting of Hardened Die Steel with Small Diameter End Mill: Effects of Left Hand Helical Tool |
|
||
Takumi Imada, Keiji Ogawa, Haruki Kino, Heisaburo Nakagawa, and Hitomi Kojima |
Paper: | pp. 38-45 | ||
Proposal of Contour Line Model for High-Speed End Milling Simulation |
|
||
Isamu Nishida and Keiichi Shirase |
Paper: | pp. 52-58 | ||
Angle Detection Using Gyro Signals Rotating Around Four Orthogonally Aligned Axes |
|
||
Tatsuya Kume, Masanori Satoh, Tsuyoshi Suwada, Kazuro Furukawa, and Eiki Okuyama |
Paper: | pp. 59-65 | ||
Grinding Energy Distributions and Wear Behaviors of Grain Cutting Edges in cBN Deep Grinding |
|
||
Masakazu Fujimoto, Yuka Hiraizumi, Kazutaka Hirata, and Susumu Ohishi |
Paper: | pp. 66-72 | ||
Compensation Method for Tool Setting Errors Based on Non-Contact On-Machine Measurement |
|
||
Meng Xu, Keiichi Nakamoto, and Yoshimi Takeuchi |
Paper: | pp. 73-79 | ||
Relationship Between Fluid Properties and Bearing Stiffness in Water Hydrostatic Bearing |
|
||
Hiroshi Sawano |
Paper: | pp. 80-90 | ||
Positioning Performance Evaluation for Light-Weight Rotary Stage CFRP Application |
|
||
Makoto Kato, Yasuhiro Kakinuma, Yuki Shirakawa, Kazunori Iijima, and Yasusuke Iwashita |
Paper: | pp. 91-98 | ||
Development of a Microprobing System for Side Wall Detection Based on Local Surface Interaction Force Detection |
|
||
So Ito, Yusuke Shima, Daichi Kato, Kimihisa Matsumoto, and Kazuhide Kamiya |
Paper: | pp. 99-108 | ||
Using Textured-DLC Coating to Improve the Wear Resistance of Stainless Steel Plate Under Dust-Containing Lubricant Condition |
|
||
Takuya Osawa, Makoto Matsuo, Yuya Eyama, Hiroshi Yamamoto, Shinji Tanaka, Masao Kikuchi, Yuki Hirata, Hiroki Akasaka, and Naoto Ohtake |
Paper: | pp. 109-116 | ||
Mitigation of Channel Clogging in a Microfluidic Device for Capturing Circulating Tumor Cells |
|
||
Tomoki Konishi, Yuki Jingu, Tatsuya Yoshizawa, Masaru Irita, Toshihiro Suzuki, and Masanori Hayase |
Paper: | pp. 117-127 | ||
A Puncturing Device that Mimics the Mechanism of Mosquito’s Proboscis and Labium - Verification of the Effect of Skin Deformation / Needle Buckling Prevention Mechanism and Puncture Experiment on Artificial Skin and Experimental Animals – |
|
||
Shunki Yamamoto, Seiji Aoyagi, Masahiro Yamada, Tomokazu Takahashi, Masato Suzuki, Toshio Nagashima, Atsushi Kunugi, Makoto Chiyonobu, Takeshi Kuroiwa, Ryota Hosomi, Kenji Fukunaga, Daisuke Uta, Tomonori Takazawa, Tomoyuki Hikitsuchi, Yumi Kawajiri, and Koji Nakayama |
Regular Papers
Paper: | pp. 129-134 | ||
Utilization of Reluctance Electromagnetic Force of Inner-Mover-Type Rotary-Linear Motor |
|
||
Fumiaki Osawa |
fixpage_ja-au.php