Hidden semi-Markov model-based method for tool wear estimation in milling process-Reference-Cited by-同舟云学术

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Hidden semi-Markov model-based method for tool wear estimation in milling process

Published:2017-05-02 Issue:9-12 Volume:92 Page:3647-3657
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Kong Dongdong,Chen Yongjie,Li Ning

Funder

863 National High-Tech Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s00170-017-0404-0/fulltext.html

Reference33 articles.

1. Tönshoff HK, Wulfsberg JP, Kals HJJ, König W, van Luttervelt CA (1988) Developments and trends in monitoring and control of machining processes. CIRP Ann Manuf Technol 37(2):611–622

2. Kramer BM, Von Turkovich BF (1986) A comprehensive tool wear model. CIRP Ann Manuf Technol 35(1):67–70

3. Mehrabi MG, Ulsoy AG, Koren Y (2000) Reconfigurable manufacturing systems: key to future manufacturing. J Intell Manuf 11:403–419

4. Kaya B, Oysu C, Ertunc HM (2011) Force-torque based on-line tool wear estimation system for CNC milling of Inconel 718 using neural networks. Adv Eng Softw 42:76–84

5. Chungchoo C, Saini D (2002) On-line tool wear estimation in CNC turning operations using fuzzy neural network model. International Journal of Machine Tools & Manufacture 42:29–40

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