Articles | Volume 13, issue 2
Research article
07 Oct 2022
Research article |  | 07 Oct 2022

Milling chatter recognition based on dynamic and wavelet packet decomposition

Miao Xie, Xinli Yu, Ze Ren, and Yuqi Li

Related subject area

Subject: Dynamics and Control | Techniques and Approaches: Synthesis
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Cited articles

Altintas, Y. and Ber, A.: Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design, Appl. Mech. Rev., 54, B84,, 2001. 
Cao, H., Lei, Y., and He, Z.: Chatter identification in end milling process using wavelet packets and Hilbert–Huang transform, Int. J. Mach. Tool. Manu., 69, 11–19,, 2013. 
Fang, N., Pai, P. S., and Mosquea, S.: Effect of tool edge wear on the cutting forces and vibrations in high-speed finish machining of Inconel 718: an experimental study and wavelet transform analysis, Int. J. Adv. Manuf. Tech., 52, 65–77,, 2011. 
Huang, P., Li, J., Sun, J., and Zhou, J.: Vibration analysis in milling titanium alloy based on signal processing of cutting force, Int. J. Adv. Manuf. Tech., 64, 613–621,, 2013. 
Jemielniak, K., Kossakowska, J., and Urbański, T.: Application of wavelet transform of acoustic emission and cutting force signals for tool condition monitoring in rough turning of Inconel 625, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 225, 123–129,, 2011. 
Short summary
In this paper, chatter recognition is carried out for milling based on dynamic characteristics and wavelet packets. The relationship between the dynamic characteristics of the machine tool spindle system and chatter recognition is established by constructing a recombined signal containing chatter signal information.