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IJAT Most Downloaded Papers, Jul. 2023
| This month | Last month | Vol. No. | Title / Authors | Keywords | 
|---|---|---|---|---|
|  | 1 | 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 | 
|  | - | Vol.17 No.4 (2023) | 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 | nano-scale phenomenon, magnetic particle, in situ observation, localized remote control, hard material | 
|  | 5 | 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 | 
|  | - | 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 | 
|  | - | Vol.17 No.4 (2023) | 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 | laser powder-bed fusion, spatter particles, laser scanning, gas flow, build quality | 
|  | 15 | Vol.16 No.6 (2022) | Study on Method for Avoiding Chatter Vibration by Changing Machine Tool Rigidity Akio Hayashi, Okitoshi Shibata, and Yoshitaka Morimoto | chatter vibration, machine tools, rigidity, dynamic characteristics, stability limit diagram | 
|  | - | Vol.17 No.4 (2023) | Effect of FDM Processing Conditions on Snap-Fit Characteristic in Assembly Hiroyuki Taguchi, Yohei Kunimatsu, and Hiroyuki Narahara | snap-fit, additive manufacturing, fused deposition modeling, wavelet | 
|  | 8 | Vol.17 No.3 (2023) | Digital Twin of Experience for Human–Robot Collaboration Through Virtual Reality Tetsunari Inamura | digital twin, virtual reality, human–robot interaction, behavior change | 
|  | 8 | Vol.17 No.3 (2023) | Multi-Scale Batch-Learning Growing Neural Gas Efficiently for Dynamic Data Distributions Fernando Ardilla, Azhar Aulia Saputra, and Naoyuki Kubota | multi-scale batch-learning growing neural gas, topological structure, dynamic data | 
|  | 2 | 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 | 
|  | 9 | Vol.17 No.2 (2023) | Study on Process Design Based on Language Analysis and Image Discrimination Using CNN Deep Learning Akio Hayashi and Yoshitaka Morimoto | process design, image discrimination, AI, language analysis, STEP | 
|  | - | Vol.17 No.4 (2023) | 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 | PBF-LB/M, residual stress, warpage, laser scan strategy, cosα method | 
|  | 4 | Vol.17 No.3 (2023) | Effect of Perspective and Visuo-Tactile Feedback in Virtual Reality-Based Posture Learning Ryo Hanashima, Takumi Tokuda, Masaaki Mochimaru, and Junji Ohyama | motor learning, virtual reality, avatar, perspective, tactile sensation | 
|  | 6 | Vol.17 No.2 (2023) | 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 | future design, policymaking, carbon neutral, causal loop diagram, text mining | 
|  | 14 | Vol.16 No.2 (2022) | Sensor-Integrated Tool for Self-Optimizing Single-Lip Deep Hole Drilling Robert Wegert, Mohammad Alaa Alhamede, Vinzenz Guski, Siegfried Schmauder, and Hans-Christian Möhring | deep hole drilling, temperature, vibrations, sensors, microcontroller | 
|  | 8 | Vol.15 No.5 (2021) | Online Monitoring Method for Mold Deformation Using Mahalanobis Distance Yoshio Fukushima and Naoki Kawada | mold deformation, injection molding, Mahalanobis distance, monitoring system | 
|  | 5 | 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) | 
|  | 8 | Vol.17 No.3 (2023) | Motion Analysis of the Torso and the Elbow During Picking and Placing Heavy Object on Shelf Kaito Hara, Satoki Tsuichihara, and Yasutake Takahashi | motion capture, motion analysis on redundant part, zero moment point | 
|  | 13 | Vol.17 No.2 (2023) | 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 | CFRP, incremental forming, CAD/CAM, 3D measurement, Taguchi method | 
|  | - | Vol.17 No.4 (2023) | Advantages of Injection Mold with Hybrid Process of Metal Powder Bed Fusion and Subtractive Process Satoshi Abe, Seiichi Uemoto, and Masanori Morimoto | additive manufacturing, 3D printing, powder bed fusion, injection molding, conformal cooling | 
|  | 11 | Vol.17 No.3 (2023) | 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 | rehabilitation, musculoskeletal models, motion capture, functional independence measure | 
|  | 8 | 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 | 
|  | 9 | 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 | 
|  | 12 | Vol.6 No.2 (2012) | Indirect Measurement of Volumetric Accuracy for  Three-Axis and Five-Axis Machine Tools: A Review Soichi Ibaraki and Wolfgang Knapp | volumetric accuracy, indirect measurement, machine tools, kinematic model | 
Count period : July 1-31, 2023
