Title: A new method of real-time monitoring of cutting tool status bases on HHT

Authors: Qizheng Liu; Guoqiang Guo; Zichao Lin; Bin Shen

Addresses: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China ' Shanghai Spaceflight Precision Machinery Institute, Shanghai 201600, China ' School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China ' School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Abstract: The machine tool is the main execution unit in the cyber-physical system (CPS system), which can improve the product quality by dynamic monitoring and real-time perception of its wear status. In order to realise the online signal acquisition and monitoring of tool wear status, the spindle power signal acquisition system was implemented. The cutting force signal is used as contrast analysis. The HHT method and wavelet transform method are introduced to construct the tool wear coefficients, which are corresponding to the tool wear status. Compared with the wavelet transform, it is proved that Hilbert-Huang transform can restrain the noise signal effectively and improve the accuracy of the monitoring. Finally, the new tool wear monitoring method is applied to drilling 45# steel and titanium alloy TC4 to catch the tool wear state, and the power signal is used to carry out comprehensive online tool state monitoring. It is accurate and practical in the drilling test, which shows prospective usage in the near future.

Keywords: cyber-physical system; CPS; power signal; Hilbert-Huang transform; tool wear coefficient; wavelet transform.

DOI: 10.1504/IJAT.2019.106672

International Journal of Abrasive Technology, 2019 Vol.9 No.4, pp.276 - 285

Accepted: 19 Sep 2019
Published online: 16 Apr 2020 *

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