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Online chatter detection in milling process based on VMD and multiscale entropy

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Abstract

Chatter is a kind of self-excited vibration, which always has a negative impact on production efficiency. In this paper, a novel online chatter detection method for milling processes is proposed. In this method, firstly, the spindle revolution period component is extracted by angular synchronous averaging (ASA) the vibration signals generated in different cutting conditions. Then, the residual part related to chatter is calculated by subtracting the periodic component. Subsequently, the filtered signal is decomposed into a set of intrinsic mode functions (IMFs) using variational mode decomposition (VMD) to obtain chatter information. Finally, the multiscale permutation entropy (MPE) and multiscale power spectral entropy (MPSE) of the selected IMFs are calculated, and Laplacian score (LS) for feature selection is applied to select the optimal sensitive scale features with generalization. Online chatter detection based on selected sensitive scale features by splitting signal up into overlap** frames in milling process. The analysis results show that the proposed method can effectively detect the chatter under stable cutting conditions and variable cutting conditions.

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Funding

The research is supported by the National Natural Science Foundation of China under Grant nos. 51875224 and 51705174, and Major special projects in Jiangsu Province of China under Grant nos. SBE2017020146.

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Authors and Affiliations

  1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Kai Li, Song** He & Bin Li

  2. National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, 430074, China

    Bin Li, Hongqi Liu & **nyong Mao

  3. Advanced Manufacturing Research Center, University of Sheffield, Western Bank Sheffield, S10 2TN, England

    Bo Luo

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  1. Kai Li
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  2. Song** He
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  3. Bo Luo
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  4. Bin Li
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  5. Hongqi Liu
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  6. **nyong Mao
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Correspondence to Song** He.

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Li, K., He, S., Luo, B. et al. Online chatter detection in milling process based on VMD and multiscale entropy. Int J Adv Manuf Technol 105, 5009–5022 (2019). https://doi.org/10.1007/s00170-019-04478-4

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  • DOI: https://doi.org/10.1007/s00170-019-04478-4

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