Experimental investigation on the multiple vibration characteristics of milling based on spectrum feature and surface topography analysis
Author:
Funder
Tianjin Technical Innovation Guidance Special Foundation
National Natural Science Foundation of China
Tianjin Research Innovation Project for Postgraduate Students
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40430-024-04814-0.pdf
Reference26 articles.
1. Zhu K, Zhang Y (2017) Modeling of the instantaneous milling force per tooth with tool run-out effect in high speed ball-end milling. Int J Mach Tools Manuf 118–119:37–48. https://doi.org/10.1016/j.ijmachtools.2017.04.001
2. Grossi N, Scippa A, Sallese L, Montevecchi F, Campatelli G (2018) On the generation of chatter marks in peripheral milling: a spectral interpretation. Int J Mach Tools Manuf 133:31–46. https://doi.org/10.1016/j.ijmachtools.2018.05.008
3. Dong X, Zhang W (2017) Chatter identification in milling of the thin-walled part based on complexity index. Int J Adv Manuf Technol 91:3327–3337. https://doi.org/10.1007/s00170-016-9912-6
4. Wu G, Li G, Pan W, Raja I, Wang X, Ding S (2021) A state-of-art review on chatter and geometric errors in thin-wall machining processes. J Manuf Process 68:454–480. https://doi.org/10.1016/j.jmapro.2021.05.055
5. Yuvaraju BAG, Srinivas J, Nanda BK (2023) Nonlinear dynamics of friction-induced regenerative chatter in internal turning with process damping forces. J Sound Vib 544:117386. https://doi.org/10.1016/j.jsv.2022.117386
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