Cutting tool wear monitoring for reliability analysis using proportional hazards model-Reference-Cited by-同舟云学术

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Cutting tool wear monitoring for reliability analysis using proportional hazards model

Published:2011-06-03 Issue:5-8 Volume:57 Page:565-574
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Ding Feng,He Zhengjia

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/content/pdf/10.1007/s00170-011-3316-4.pdf

Reference34 articles.

1. Dimla DE, Snr (2002) The correlation of vibration signal features to cutting tool wear in a metal turning operation. Int J Adv Manuf Technol 19(10):705–713

2. Alonso FJ, Salgado DR (2008) Analysis of the structure of vibration signals for tool wear detection. Mech Syst Sig Process 22(3):735–748

3. Dutta RK, Kiran G, Paul S, Chattopadhyay AB (2000) Assessment of machining features for tool condition monitoring in face milling using an artificial neural network. Proc Inst Mech Eng, B: J Eng Manuf 214(7):535–546

4. Dimla E, Dimla S, Lister PM (2000) On-line metal cutting tool condition monitoring. I: force and vibration analyses. International Journal of Machine Tools and Manufacture 40(5):739–768

5. Bhattacharyya P, Sengupta D, Mukhopadhyay S (2007) Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques. Mech Syst Sig Process 21(6):2665–2683

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