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.
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ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
June 4–8, 2017
Los Angeles, California, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-5072-5
PROCEEDINGS PAPER
Chatter Detection in Milling Process Based on Time-Frequency Analysis Available to Purchase
Meng-Kun Liu,
Meng-Kun Liu
National Taiwan University of Science and Technology, Taipei City, Taiwan
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Quang M. Tran,
Quang M. Tran
National Taiwan University of Science and Technology, Taipei City, Taiwan
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Yi-Wen Qui,
Yi-Wen Qui
National Taiwan University of Science and Technology, Taipei City, Taiwan
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Chun-Hui Chung
Chun-Hui Chung
National Taiwan University of Science and Technology, Taipei City, Taiwan
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Meng-Kun Liu
National Taiwan University of Science and Technology, Taipei City, Taiwan
Quang M. Tran
National Taiwan University of Science and Technology, Taipei City, Taiwan
Yi-Wen Qui
National Taiwan University of Science and Technology, Taipei City, Taiwan
Chun-Hui Chung
National Taiwan University of Science and Technology, Taipei City, Taiwan
Paper No:
MSEC2017-2712, V001T02A025; 9 pages
Published Online:
July 24, 2017
Citation
Liu, M, Tran, QM, Qui, Y, & Chung, C. "Chatter Detection in Milling Process Based on Time-Frequency Analysis." Proceedings of the ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. Volume 1: Processes. Los Angeles, California, USA. June 4–8, 2017. V001T02A025. ASME. https://doi.org/10.1115/MSEC2017-2712
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