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IJAT Most Downloaded Papers, Jan. 2019
| This month | Last month | Vol. No. | Title / Authors | Keywords |
|---|---|---|---|---|
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4 | 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 |
 |
4 | 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 |
 |
- | Vol.12 No.1 (2018) |
MEMS Sensor Devices with a Piezo-Resistive Cantilever Kiyoshi Matsumoto and Isao Shimoyama |
cantilever, sensor, piezo-resistive, MEMS |
|
- | Vol.13 No.1 (2019) |
Surface Profile Analysis in Milling with Structured Tool Fumihiro Uchiyama, Akihiko Tsuboi, and Takashi Matsumura |
surface finish, milling, structured tool, cutter axis inclination, simulation |
|
4 | Vol.8 No.1 (2014) |
Error Calibration for Five-Axis Machine Tools by On-the-Machine Measurement Using a Touch-Trigger Probe Soichi Ibaraki and Yusuke Ota |
five-axis machine tools, touch-trigger probe, geometric errors, error map, error calibration |
 |
- | Vol.13 No.1 (2019) |
Utilization of Multi-Axis Positioning Repeatability Performance in Kinematic Modelling Károly Szipka and Andreas Archenti |
machine tool repeatability, uncertainty estimation, kinematic modelling |
|
- | Vol.8 No.6 (2014) |
Analysis of Measured Friction of Rolling Balls in Raceway Grooves Atsushi Matsubara, Atsuko Sayama, Taku Sakai, and Matthias Reuss |
rolling friction, modeling, linear guideways, bristle model, micro slip |
|
- | Vol.12 No.3 (2018) |
Artificial Neural Networks for Tool Wear Prediction Based on Sensor Fusion Monitoring of CFRP/CFRP Stack Drilling Alessandra Caggiano and Luigi Nele |
drilling, composite material, sensor monitoring, artificial neural network, tool wear prediction |
|
- | Vol.4 No.3 (2010) |
Interactive Design-Assistance System of Machine Tool Structure in Conceptual and Fundamental Design Stage Zhangyong Yu, Keiichi Nakamoto, Tohru Ishida, and Yoshimi Takeuchi |
interactive design-assistance system, machine tool structure, conceptual and fundamental design, beam theory, static/dynamic/thermal stiffness |
 |
4 | Vol.12 No.5 (2018) |
Error Estimation of Machined Surfaces in Multi-Axis Machining with Machine Tool Errors Including Tool Self-Intersecting Motion Based on High-Accuracy Tool Swept Volumes Wataru Arai, Fumiki Tanaka, and Masahiko Onosato |
multi-axis machine tool, tool swept volume, geometric errors, machining simulation, machined surface |
|
- | Vol.4 No.2 (2010) |
Fabrication of Ultrafine Tools Using a Desktop Microgrinder Hitoshi Ohmori, Yoshihiro Uehara, and Kazutoshi Katahira |
electrolytic in-process dressing (ELID) grinding, microtool, desktop microgrinder |
|
- | Vol.5 No.5 (2011) |
Development of an Interactive Assistance System for Machine Tool Structure Design Considering of Sliding Joint Damping Zhangyong Yu, Keiichi Nakamoto, and Yoshimi Takeuchi |
interactive assistance system, machine tool structure, conceptual and fundamental design, joint damping |
Count period : January 1-31, 2019