In-process monitoring of tool wear in milling using cutting force signature-Reference-Cited by-同舟云学术

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In-process monitoring of tool wear in milling using cutting force signature

Published:1991-01 Issue:1 Volume:31 Page:55-73
ISSN:0890-6955
Container-title:International Journal of Machine Tools and Manufacture
language:en
Short-container-title:International Journal of Machine Tools and Manufacture

Author:

Elbestawi M.A.,Papazafiriou T.A.,Du R.X.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference36 articles.

Cited by 79 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Construction of a Cutting-Tool Wear Prediction Model through Ensemble Learning;Applied Sciences;2024-04-29

2. An intelligent milling chatter detection method based on VMD-synchro-squeeze wavelet and transfer learning via deep CNN with vibration signals;The International Journal of Advanced Manufacturing Technology;2023-09-19

3. Building digital-twin virtual machining for milling chatter detection based on VMD, synchro-squeeze wavelet, and pre-trained network CNNs with vibration signals;Journal of Intelligent Manufacturing;2023-08-21

4. Development of a CNC Spindle Motor Current Load Model Considering Machining Conditions;Transactions of the Korean Society of Mechanical Engineers - A;2023-07-31

5. Modeling of Deep Learning Applications for Chatter Detection in the Milling Process;Procedia CIRP;2023

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