Tool flank wear monitoring using torsional–axial vibrations in drilling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Link
http://link.springer.com/article/10.1007/s11740-018-0866-4/fulltext.html
Reference21 articles.
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3. Antić A, Popović B, Krstanović L, Obradović R, Milošević M (2018) Novel texture-based descriptors for tool wear condition monitoring. Mech Syst Signal Process 98:1–15
4. Ertunc HM, Loparo KA (2001) A decision fusion algorithm for tool wear condition monitoring in drilling. Int J Mach Tools Manuf 41:1347–1362
5. Klaic M, Staroveski T, Udiljak T (2014) Tool wear classification using decision trees in stone drilling applications: a preliminary study. Procedia Eng 69:1326–1335
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1. Method of Tool Wear Control during Stainless Steel End Milling;Journal of Friction and Wear;2021-07
2. Monitoring of drill runout using Least Square Support Vector Machine classifier;Measurement;2019-11
3. An Intelligent Milling Tool Wear Monitoring Methodology Based on Convolutional Neural Network with Derived Wavelet Frames Coefficient;Applied Sciences;2019-09-18
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