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IJAT Most Downloaded Papers, Oct. 2024
| This month | Last month | Vol. No. | Title / Authors | Keywords |
|---|---|---|---|---|
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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 |
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3 | 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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12 | 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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11 | Vol.18 No.4 (2024) |
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 |
intelligent measurement, sensing, machine learning, dimensional metrology, process monitoring |
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14 | 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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15 | Vol.18 No.1 (2024) |
Machine-Learning-Based Model Parameter Identification for Cutting Force Estimation Junichi Kouguchi, Shingo Tajima, and Hayato Yoshioka |
milling, cutting force, machine learning, model-based monitoring, in-process monitoring |
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8 | Vol.18 No.5 (2024) |
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 |
wire arc additive manufacturing, directed energy deposition, friction stir burnishing, Taguchi, microhardness |
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6 | Vol.18 No.5 (2024) |
Topological Delaunay Graph for Efficient 3D Binary Image Analysis Shin Yoshizawa, Takashi Michikawa, and Hideo Yokota |
persistent homology, persistence diagram, Rips complex, topological graph, Voronoi diagram |
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20 | Vol.18 No.4 (2024) |
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 |
thread mill, wireless monitoring holder, cutting force, helical interpolation, machining center |
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19 | Vol.17 No.3 (2023) |
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 |
real-time digital-twin, laparoscopic surgery, finite element method, collision detection, surgical navigation |
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13 | Vol.18 No.5 (2024) |
Design and Analysis of Rehabilitation Evaluation System for Finger Rehabilitation Robot Guangda Lu, Xinlin Liu, Qiuyue Zhang, Zhuangzhuang Zhao, Runze Li, and Zheng Li |
rehabilitation assessment, rehabilitation robot, hand dysfunction |
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15 | Vol.18 No.4 (2024) |
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 |
CAD/CAM, milling process simulation, 4D geometric model, cutter-workpiece engagement |
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17 | Vol.16 No.2 (2022) |
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 |
demand forecasting, plant factories, time series model, regression model, production planning |
Count period : October 1-31, 2024