Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear)-Reference-Cited by-同舟云学术

Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear)

Published:2018 Issue:857 Volume:84 Page:17-00433-17-00433
ISSN:2187-9761
Container-title:Transactions of the JSME (in Japanese)
language:en
Short-container-title:

Author:

NISHIDA Isamu¹,TATEKAWA Muneharu²,SATO Ryuta¹,SHIRASE Keiichi¹

Affiliation:

1. Department of Mechanical Engineering, Graduate School of Engineering, Kobe University

2. Toyota Motor Corporation

Publisher

Japan Society of Mechanical Engineers

Link

https://www.jstage.jst.go.jp/article/transjsme/84/857/84_17-00433/_pdf

Reference19 articles.

1. Aly, A., Sarhan, D., Matsubara, A. and Sugihara, M, Monitoring method of cutting force by using additional spindle sensors, JSME International Series C, Vol.49, No.2(2006), pp.307-315.

2. Altintas, Y. and Lee, P., A general mechanics and dynamics model for helical end mills, CIRP Annals, Vol.45, No.1(1996), p.59.

3. Denkena, B., Martin L. K. and Boujnah, H., Process monitoring with a force sensitive axis-slide for machine tools, Procedia Technol., Vol. 15(2014), pp.416-423.

4. El-Mehalawi, M. and Miller, R. A., A database system of mechanical components based on geometric and topological similarity. Part I: representation, Computer-Aided Design, Vol. 35, No. 1(2003a), pp.83-94.

5. El-Mehalawi, M. and Miller, R. A., A database system of mechanical components based on geometric and topological similarity. Part II: indexing, retrieval, matching and similarity assessment, Computer-Aided Design, Vol. 35, No. 1(2003b), pp.95-105.

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