Chatter detection in milling process based on time-frequency analysis

Meng Kun Liu, Quang M. Tran, Yi Wen Qui, Chun Hui Chung

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

Chatter identification is necessary in order to achieve stable machining conditions. However, the linear approximation in regenerative chatter vibration is problematic because of the rich nonlinear characteristics in machining. In this study, a novel method to detect chatter is proposed. Firstly, measured cutting force signals are decomposed into a set of intrinsic mode functions by using ensemble empirical mode decomposition. Hilbert transform is following to extract the instantaneous frequency. Fast Fourier transform is also utilized for each intrinsic mode function to determine the intrinsic mode function that contains rich chatter. Finally, the standard deviation and energy ratio in frequency domain of intrinsic mode functions are found as simply dimensionless chatter indicators. The effectively proposed approach is validated by analyzing the machined surface topography and also compared to the stability lobe diagram.

原文English
主出版物標題Processes
發行者American Society of Mechanical Engineers
ISBN(電子)9780791850725
DOIs
出版狀態Published - 2017 一月 1
事件ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing - Los Angeles, United States
持續時間: 2017 六月 42017 六月 8

出版系列

名字ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
1

Other

OtherASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
國家United States
城市Los Angeles
期間17-06-0417-06-08

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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