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The International Journal of Advanced Manufacturing Technology

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20-08-2022 | ORIGINAL ARTICLE

Online chatter monitor system based on rapid detection method and wireless communication

Authors: Xueyu Mei, Haoming Xu, Pingfa Feng, Meng Yuan, Chao Xu, Yuan Ma, Feng Feng

Published in: The International Journal of Advanced Manufacturing Technology | Issue 3-4/2022

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Abstract

Chatter is a serious self-excited vibration, which can lead to many issues in machining; thus, an effective online chatter detection method is highly demanded. However, the pre-processing such as decomposition on the collected signals that was usually used in the literature costs a long time, thus compromising its online capacity. In this study, a rapid chatter detection method is investigated aiming at establishing a monitor system based on wireless communication. Firstly, the feasibility of not using pre-processing on vibration signals in milling chatter detection was demonstrated. Fractal dimension (FD) algorithms, including Katz’s and Higuchi’s approaches, and power spectral entropy algorithm, as well as a typical pre-processing method, empirical mode decomposition (EMD), were studied comparatively. It was found that Katz’s FD without EMD can monitor chatter effectively and the most rapidly; thus, it can be considered as the most favorable option for chatter monitor within the scope of this study. Based on such a finding, an online chatter monitor system was established by using Zigbee wireless communication technique. The comprehensive performance, including time cost, power consumption and packet loss rate of the established system were tested. The signal credibility and ability to monitor chatter of the system was also verified in practical milling, suggesting that it could meet the requirements of online chatter monitor.

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Title: Online chatter monitor system based on rapid detection method and wireless communication
Authors: Xueyu Mei
Haoming Xu
Pingfa Feng
Meng Yuan
Chao Xu
Yuan Ma
Feng Feng
Publication date: 20-08-2022
Publisher: Springer London
Published in: The International Journal of Advanced Manufacturing Technology / Issue 3-4/2022
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-022-09941-3

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