A novel chatter detection method in micro-milling process using wavelet packet entropy
Author:
Funder
Program of Tianjin Science and Technology
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13325-0.pdf
Reference38 articles.
1. Wang P, Bai Q, Cheng K, Zhang Y, Zhao L, Ding H (2023) Investigation on an in-process chatter detection strategy for micro-milling titanium alloy thin-walled parts and its implementation perspectives. Mech Syst Signal Pr 183:109617. https://doi.org/10.1016/j.ymssp.2022.109617
2. Jing X, Zheng Z, Xu J, Wang F, Jaffery SHI, Li H (2022) Stability analysis in micro milling based on p-leader multifractal method. J Manuf Process 77:495–507. https://doi.org/10.1016/j.jmapro.2022.03.033
3. Gradisek J, Baus A, Govekar E, Klocke F, Grabec I (2003) Automatic chatter detection in grinding. Int J Mach Tools Manu 43(14):1397–1403. https://doi.org/10.1016/S0890-6955(03)00184-6
4. Tang X, Peng F, Yan R, Zhu Z, Li Z, Xin S (2021) Nonlinear process damping identification using finite amplitude stability and the influence analysis on five-axis milling stability. Int J Mech Sci 190:106008. https://doi.org/10.1016/j.ijmecsci.2020.106008
5. Zhang Q, Tu X, Li F, Hu Y (2020) An effective chatter detection method in milling process using morphological empirical wavelet transform. IEEE Trans Instrum Meas 69(8):5546–5555. https://doi.org/10.1109/TIM.2019.2958470
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