A New Approach to the Early Prediction of Turning Chatter
Author:
Affiliation:
1. Department of Mechanical Engineering, Jilin University of Technology, Changchun, 130025, P. R. China
Abstract
Publisher
ASME International
Subject
General Engineering
Link
http://asmedigitalcollection.asme.org/vibrationacoustics/article-pdf/116/4/485/5824961/485_1.pdf
Cited by 12 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. A Study on Machine Learning Application by Convolutional Neural Network Model Classifying Audio to Identify Vibration Phenomenon in the Turning Process;2023 International Conference on System Science and Engineering (ICSSE);2023-07-27
2. Chatter Prediction in High Speed Machining of Titanium Alloy (Ti-6Al-4V) using Machine Learning Techniques;Materials Today: Proceedings;2020
3. PVDF sensor based on-line mode coupling chatter detection in the boring process;Manufacturing Letters;2018-04
4. An empirical comparison of chatter classification methods in turning;Procedia CIRP;2018
5. An Optimal Weighted Wavelet Packet Entropy Method With Application to Real-Time Chatter Detection;IEEE/ASME Transactions on Mechatronics;2016-08
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