Tool Condition Monitoring in Micro-End Milling using wavelets
Author:
Publisher
IOP Publishing
Subject
General Medicine
Link
http://stacks.iop.org/1757-899X/346/i=1/a=012045/pdf
Reference10 articles.
1. Tool wear and failure monitoring techniques for turning—A review
2. Analytical prediction of cutting tool wear
3. Tool Wear and Breakage Detection Using a Process Model
4. Tool Wear Monitoring Through the Dynamics of Stable Turning
5. Correlating tool wear, tool life, surface roughness and tool vibration in finish turning with coated carbide tools
Cited by 4 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. Tool condition monitoring in micro milling of brittle materials;Precision Engineering;2024-05
2. The use of wavelet transform to evaluate the sensitivity of acoustic emission signals attributes to variation of cutting parameters in milling aluminum alloys;The International Journal of Advanced Manufacturing Technology;2023-03-28
3. Chatter detection in milling processes—a review on signal processing and condition classification;The International Journal of Advanced Manufacturing Technology;2023-02-07
4. Evaluating the sensitivity of acoustic emission signal features to the variation of cutting parameters in milling aluminum alloys: Part A: frequency domain analysis;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2020-08-23
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