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The International Journal of Advanced Manufacturing Technology

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22-02-2021 | ORIGINAL ARTICLE

Milling chatter monitoring under variable cutting conditions based on time series features

Authors: Kunhong Chen, Xing Zhang, Zhao Zhao, Jia Yin, Wanhua Zhao

Published in: The International Journal of Advanced Manufacturing Technology | Issue 9-10/2021

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Abstract

Chatter monitoring is an important task while ensuring machining quality and improving machining efficiency. Under variable cutting conditions, cutting parameters often change, and the cutting state and traditional time-frequency domain cutting features will also change significantly. In order to achieve precise monitoring of chatter under such cutting conditions, this article proposes a time series method named recurrence plot (RP) that can reflect the non-stationary characteristics and state differences of the signal system to analyze the cutting force signal in the cutting process. Firstly, reconstruct the phase space, generate RP; then use recurrence quantitative analysis (RQA) to extract statistical features in the RP that reflect the current state of the system; thirdly, use affinity propagation (AP) clustering method to find out the exemplar features from the RQA; finally, train the exemplar features using the light gradient boosting (LGB) method to obtain the classification prediction model. Experimental results show that this method can effectively identify the machining chatter state and stable cutting state under variable cutting conditions.

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Title: Milling chatter monitoring under variable cutting conditions based on time series features
Authors: Kunhong Chen
Xing Zhang
Zhao Zhao
Jia Yin
Wanhua Zhao
Publication date: 22-02-2021
Publisher: Springer London
Published in: The International Journal of Advanced Manufacturing Technology / Issue 9-10/2021
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-021-06746-8

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