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IJAT Most Downloaded Papers, Jun. 2024
| This month | Last month | Vol. No. | Title / Authors | Keywords |
|---|---|---|---|---|
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3 | Vol.11 No.1 (2017) |
“Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples Klaus-Dieter Thoben, Stefan Wiesner, and Thorsten Wuest |
industry 4.0, smart manufacturing, cyber-physical systems, industrial internet, smart factory |
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4 | Vol.18 No.2 (2024) |
High-Efficiency Polishing of Polymer Surface Using Catalyst-Referred Etching Daisetsu Toh, Kodai Takeda, Kiyoto Kayao, Yuji Ohkubo, Kazuto Yamauchi, and Yasuhisa Sano |
polymer polishing, catalyst-referred etching (CARE), polycarbonate (PC), polymethyl methacrylate (PMMA), fluorinated ethylene propylene (FEP) |
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2 | Vol.18 No.3 (2024) |
Influence of Reverse Finishing on Characteristics of Drilling Surface Yuzuha Ochi, Masatoshi Usui, and Hiroyuki Sasahara |
aluminum alloy, Bauschinger effect, drilling, reverse finishing |
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1 | Vol.18 No.3 (2024) |
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 |
end milling, machining error simulation, parameter identification, tool stiffness, on-machine measurement |
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6 | Vol.16 No.6 (2022) |
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 |
solid waste management, plastic waste, recycling, material flow analysis, Malaysia |
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15 | Vol.18 No.3 (2024) |
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 |
micro-cutting, tool life, tissue sectioning, durability test, microtome blade |
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6 | Vol.16 No.4 (2022) |
Magnetic Levitation Technology for Precision Motion Systems: A Review and Future Perspectives Lei Zhou and Jingjie Wu |
magnetic levitation, mechatronics, actuators, precision motion systems, precision positioning |
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8 | Vol.13 No.3 (2019) |
Review of Wire Arc Additive Manufacturing for 3D Metal Printing Johnnie Liew Zhong Li, Mohd Rizal Alkahari, Nor Ana Binti Rosli, Rafidah Hasan, Mohd Nizam Sudin, and Faiz Redza Ramli |
wire arc additive manufacturing (WAAM), 3D printing, additive manufacturing (AM), welding, fused deposition modeling (FDM) |
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14 | Vol.18 No.3 (2024) |
Bilateral Half-Box Image Filtering Miku Fukatsu, Shin Yoshizawa, Hiroshi Takemura, and Hideo Yokota |
bilateral filter, half-box averaging, fast edge-aware filtering |
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22 | Vol.17 No.5 (2023) |
Effect of Vibration Behavior in Low-Frequency Vibration Cutting on Surface Properties of Workpiece Hiroyuki Kodama, Shota Matsuno, Naoyuki Shibata, and Kazuhito Ohashi |
low-frequency vibration cutting, vibration behavior, surface roughness, cross-sectional curve |
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17 | Vol.17 No.2 (2023) |
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 |
process planning, machine learning, rough machining, die and mold, certainty evaluation |
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2 | Vol.18 No.3 (2024) |
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 |
five-axis machining center, synchronous motion, machined shape error, wireless IoT tool holder, machining force |
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9 | Vol.18 No.1 (2024) |
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 |
sales and operation planning, supply chain planning, multi-objective, discrete-event simulation, Ethiopian automotive industry |
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14 | Vol.18 No.3 (2024) |
Milling of TiBbm2 Particle Reinforced High-Modulus Steel Hideharu Kato, Kazuya Matsumoto, Yukio Ito, Shigehiko Sakamoto, and Hitoshi Sumiya |
TiB2 particle, high-Young’s-modulus steel, binderless CBN, tool life, cutting temperature |
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6 | Vol.18 No.1 (2024) |
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 |
on-machine, linear scale grating, laser autocollimation, pitch deviation measurement |
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20 | Vol.17 No.5 (2023) |
Posture Optimization in Robot Machining with Kinematic Redundancy for High-Precision Positioning Shingo Tajima, Satoshi Iwamoto, and Hayato Yoshioka |
robot machining, path generation, industrial robot, kinematic redundancy, trajectory |
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19 | Vol.17 No.4 (2023) |
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 |
additive manufacturing, metal fatigue, internal defect, steel, X-ray CT |
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- | Vol.14 No.6 (2020) |
Remanufacturing Option Selection with Disassembly for Recovery Rate and Profit Kazuki Yoda, Hayate Irie, Yuki Kinoshita, Tetsuo Yamada, Shuho Yamada, and Masato Inoue |
product installation reuse, recycling, lifecycle option, reassembly, 0-1 integer programming |
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23 | Vol.14 No.5 (2020) |
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 |
living lab, know-how, pattern language, workshop, co-creation |
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22 | Vol.17 No.6 (2023) |
Development of Additive Printing System Using Slant Direct-Drive Parallel Mechanism Ryosuke Tawara, Chiaki Tanuma, and Yutaka Tanaka |
additive manufacturing, 3D printing, parallel mechanism, material extrusion head, movable stage |
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- | Vol.17 No.3 (2023) |
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 |
deep learning, joint angle estimation, IMU, long short-term memory layer, motion capture |
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22 | Vol.17 No.2 (2023) |
Acquisition of Skills for Process Planning Through Eye Tracking When Understanding Mechanical Drawings Takumu Yoshikawa, Fumihiro Nakamura, Eisuke Sogabe, and Keiichi Nakamoto |
process planning, mechanical drawing, machining skill, eye tracking, mechanical part |
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10 | Vol.15 No.2 (2021) |
Design of an Intelligent Greenhouse Remote Control System Based on a Fuzzy Neural Network Yajuan Jia |
fuzzy neural network, greenhouse, remote control, temperature control |
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20 | Vol.14 No.6 (2020) |
Task Scheduling of Material-Handling Manipulator for Enhancing Energy Efficiency in Flow-Type FMS Ryo Yonemoto and Haruhiko Suwa |
energy-efficiency, productivity, manufacturing system, scheduling, industrial robot |
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15 | Vol.14 No.6 (2020) |
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 |
circular economy, industrial policy, Japanese manufacturers, business model, digital transformation |
Count period : June 1-30, 2024