Cutting tool wear prediction based on the multi-stage Wiener process-Reference-Cited by-同舟云学术

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Cutting tool wear prediction based on the multi-stage Wiener process

Published:2023-11-16 Issue:11-12 Volume:129 Page:5319-5333
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Wang Yuping,Chang Miaoxin,Huang Xianzhen,Li Yuxiong,Tang Jiwu

Funder

National Natural Science Foundation of China

Applied Basic Research Program of Liaoning Province

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s00170-023-12648-8.pdf

Reference39 articles.

1. Baur M, Albertelli P Monno M (2020) A review of prognostics and health management of machine tools. Int J Adv Manuf Tech 107(5–6):2843–2863. https://doi.org/10.1007/s00170-020-05202-3

2. Daigle MJ, Goebel K (2013) Model-based prognostics withconcurrent damage progression processes. IEEE T Syst Man Cy-s 43(3):535–546. https://doi.org/10.1109/TSMCA.2012.2207109

3. Ghosh N, Ravi YB, Patra A, Mukhopadhyay S, Paul S, Mohanty AR, Chattopadhyay AB (2007) Estimation of tool wear during CNC milling using neural network-based sensor fusion. Mech Syst Signal Pr 21(1):466–479. https://doi.org/10.1016/j.ymssp.2005.10.010

4. Zhang GQ, To S, Zhang SJ (2017) Evaluation for tool flank wear and its influences on surface roughness in ultra-precision raster fly cutting. Int J Mech Sci 118:125–134. https://doi.org/10.1016/j.ijmecsci.2016.09.013

5. Aboalkhair AM, Coolen FPA, MacPhee IM (2013) Nonparametric predictive reliability of series of voting systems. Eur J Oper Res 226(1):77–84. https://doi.org/10.1016/j.ejor.2012.11.001

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