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Chatter Detection in Variable Cutting Depth Side Milling Using VMD and Vibration Characteristics Analysis

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Chatter Detection in Variable Cutting Depth Side Milling Using VMD and Vibration Characteristics Analysis. / Zhao, N.; Su, Y.; Wang, S. et al.
In: Electronics (Switzerland), Vol. 11, No. 22, 3779, 17.11.2022.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Zhao, N, Su, Y, Wang, S, Xia, M & Liu, C 2022, 'Chatter Detection in Variable Cutting Depth Side Milling Using VMD and Vibration Characteristics Analysis', Electronics (Switzerland), vol. 11, no. 22, 3779. https://doi.org/10.3390/electronics11223779

APA

Zhao, N., Su, Y., Wang, S., Xia, M., & Liu, C. (2022). Chatter Detection in Variable Cutting Depth Side Milling Using VMD and Vibration Characteristics Analysis. Electronics (Switzerland), 11(22), Article 3779. https://doi.org/10.3390/electronics11223779

Vancouver

Zhao N, Su Y, Wang S, Xia M, Liu C. Chatter Detection in Variable Cutting Depth Side Milling Using VMD and Vibration Characteristics Analysis. Electronics (Switzerland). 2022 Nov 17;11(22):3779. doi: 10.3390/electronics11223779

Author

Zhao, N. ; Su, Y. ; Wang, S. et al. / Chatter Detection in Variable Cutting Depth Side Milling Using VMD and Vibration Characteristics Analysis. In: Electronics (Switzerland). 2022 ; Vol. 11, No. 22.

Bibtex

@article{b5eb856d6d6441098e2776e8bf1809e1,
title = "Chatter Detection in Variable Cutting Depth Side Milling Using VMD and Vibration Characteristics Analysis",
abstract = "Chatter is a key factor affecting tool wear, workpiece surface quality and cutting efficiency. When milling thin-walled parts, it is difficult to extract the chatter frequency band due to the time-varying characteristics of the dynamic parameters of the machining system. Variational mode decomposition (VMD) shows good performance in signal processing, but the decomposition result of this algorithm is limited by the influence of initialization parameters. Therefore, this paper proposes a scheme to determine the number of VMD decomposition layers based on the number of Fourier transform frequency peaks. The feasibility of the scheme is verified by the simulation signal and experiment signal. The results show that taking the peak number of the spectrum as the decomposition level of VMD, the spectrum distribution of the decomposed intrinsic mode function (IMF) is clear, and the frequency band containing rich chatter information can be effectively extracted.",
keywords = "chatter feature extraction, side milling, variable cutting depth, vibration characteristics analysis, VMD",
author = "N. Zhao and Y. Su and S. Wang and M. Xia and C. Liu",
year = "2022",
month = nov,
day = "17",
doi = "10.3390/electronics11223779",
language = "English",
volume = "11",
journal = "Electronics (Switzerland)",
issn = "2079-9292",
publisher = "MDPI AG",
number = "22",

}

RIS

TY - JOUR

T1 - Chatter Detection in Variable Cutting Depth Side Milling Using VMD and Vibration Characteristics Analysis

AU - Zhao, N.

AU - Su, Y.

AU - Wang, S.

AU - Xia, M.

AU - Liu, C.

PY - 2022/11/17

Y1 - 2022/11/17

N2 - Chatter is a key factor affecting tool wear, workpiece surface quality and cutting efficiency. When milling thin-walled parts, it is difficult to extract the chatter frequency band due to the time-varying characteristics of the dynamic parameters of the machining system. Variational mode decomposition (VMD) shows good performance in signal processing, but the decomposition result of this algorithm is limited by the influence of initialization parameters. Therefore, this paper proposes a scheme to determine the number of VMD decomposition layers based on the number of Fourier transform frequency peaks. The feasibility of the scheme is verified by the simulation signal and experiment signal. The results show that taking the peak number of the spectrum as the decomposition level of VMD, the spectrum distribution of the decomposed intrinsic mode function (IMF) is clear, and the frequency band containing rich chatter information can be effectively extracted.

AB - Chatter is a key factor affecting tool wear, workpiece surface quality and cutting efficiency. When milling thin-walled parts, it is difficult to extract the chatter frequency band due to the time-varying characteristics of the dynamic parameters of the machining system. Variational mode decomposition (VMD) shows good performance in signal processing, but the decomposition result of this algorithm is limited by the influence of initialization parameters. Therefore, this paper proposes a scheme to determine the number of VMD decomposition layers based on the number of Fourier transform frequency peaks. The feasibility of the scheme is verified by the simulation signal and experiment signal. The results show that taking the peak number of the spectrum as the decomposition level of VMD, the spectrum distribution of the decomposed intrinsic mode function (IMF) is clear, and the frequency band containing rich chatter information can be effectively extracted.

KW - chatter feature extraction

KW - side milling

KW - variable cutting depth

KW - vibration characteristics analysis

KW - VMD

U2 - 10.3390/electronics11223779

DO - 10.3390/electronics11223779

M3 - Journal article

VL - 11

JO - Electronics (Switzerland)

JF - Electronics (Switzerland)

SN - 2079-9292

IS - 22

M1 - 3779

ER -