Forming state recognition in deep drawing process with machine learning-Reference-Cited by-同舟云学术

Forming state recognition in deep drawing process with machine learning

Published:2019 Issue:3 Volume:13 Page:JAMDSM0066-JAMDSM0066
ISSN:1881-3054
Container-title:Journal of Advanced Mechanical Design, Systems, and Manufacturing
language:en
Short-container-title:JAMDSM

Author:

TSURUYA Tomohiro¹,DANSEKO Musashi²,SASAKI Katsuhiko³,HONDA Shinya³,TAKEDA Ryo³

Affiliation:

1. Industrial Research Institute, Hokkaido Research Organization

2. Graduate School of Engineering, Hokkaido University

3. Faculty of Engineering, Hokkaido University

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

https://www.jstage.jst.go.jp/article/jamdsm/13/3/13_2019jamdsm0066/_pdf

Reference24 articles.

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4. Hagino, N., Endou, J., Katoh, S. and Ishihama, M., Reflection and Transmission Characteristics of Ultrasonic Waves in Flat Surface Die -Visualization of Contact Conditions between Die and Workpiece During Stamping I-, Journal of the Japan Society for Technology of Plasticity, Vol.54, No.632 (2013), pp.48–52 (in Japanese).

5. Hagino, N., Komiya, S., Endo, J. and Ishihama, M., In-process Monitoring of Stamping Process of Thin Plate, Journal of the Japan Society for Technology of Plasticity, Vol.57, No.669 (2016), pp.983–990 (in Japanese).

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