Process design and tool path generation for end milling considering tool life-Reference-Cited by-同舟云学术

Process design and tool path generation for end milling considering tool life

Published:2024 Issue:4 Volume:18 Page:JAMDSM0044-JAMDSM0044
ISSN:1881-3054
Container-title:Journal of Advanced Mechanical Design, Systems, and Manufacturing
language:en
Short-container-title:JAMDSM

Author:

MATSUMURA Rei¹,NISHIDA Isamu¹,SHIRASE Keiichi¹

Affiliation:

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

Publisher

Japan Society of Mechanical Engineers

Link

https://www.jstage.jst.go.jp/article/jamdsm/18/4/18_2024jamdsm0044/_pdf

Reference12 articles.

1. Ezugwu, E., Arthur, S. and Hines, E., Tool-wear prediction using artificial neural networks, Journal of Materials Processing Technology, Vol. 49, No. 3-4 (1995), pp. 255-264.

2. Guo, K., Yang, B., Sun, J. and Sivalingam, V., Investigation on the tool wear model and equivalent tool life in end milling titanium alloy TI6AL4V, MSEC2018 (2018), DOI:10.1115/MSEC2018-6505.

3. Iwabe, H., Yamaguchi, K., Shimizu, K. and Nakanishi, K., On tool life and surface finish roughness in high-speed machining of hard materials with small-diameter ball end mills, Transactions of the Japan Society of Mechanical Engineers, Series C, Vol. 69, No. 687 (2003), pp. 3116-3123. (in Japanese)

4. Matsumura, R., Nishida, I., and Shirase, K., Tool life prediction in end milling using a combination of machining simulation and tool wear progress data, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol. 17, Issue 2 (2023), DOI: 10.1299/jamdsm.2023jamdsm0025.

5. Motorcu, A. R., Kuş, A., Arslan, R., Tekin, Y. and Ezentaş, R., Evaluation of tool life - Tool wear in milling of Inconel 718 superalloy and the investigation of effects of cutting parameters on surface roughness with taguchi method, Technical Gazette Vol. 20, No. 5 (2013), pp. 765-774.