Title: Study on the friction noise behaviour of coating textured surface based on STFT time-frequency analysis

Authors: Shucai Yang; Zekun Song; Xin Tong; Pei Han

Addresses: Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin,150080, China ' Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin,150080, China ' Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin,150080, China ' Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin,150080, China

Abstract: The friction noise existing in the machining system will affect the stability and accuracy of the system, and the coating and micro-texture technology provides a solution to this problem. In this paper, orthogonal experiments are designed based on coating and micro-texture parameters, and a pin-disk friction and wear experimental platform is built. STFT is used to analyse the time-frequency of friction noise signals. The results show that the coating micro-texture can suppress the high frequency part of the noise. The process of coating micro-texture can be divided into three stages: the initial running-in stage, the validity period of coating micro-texture, and the coating micro-texture failure period. Taking the minimum decibel value of noise as the evaluation index, it is found that laser scanning speed, scanning times and p * d (interaction between laser power and micro-texture diameter) are the main factors affecting friction noise, and the micro-texture parameters of the coating are optimised: coating thickness 3 μm, laser power 35 W, laser scanning speed 1,700 mm/s, laser scanning times 6, micro-texture diameter 60 μm, and micro-texture spacing 130 μm. It provides a theoretical and data basis for improving the interfacial friction performance.

Keywords: friction noise signal; AlSiTiN coating; micro-texture; time-frequency analysis; parameter optimisation.

DOI: 10.1504/IJSURFSE.2023.135788

International Journal of Surface Science and Engineering, 2023 Vol.17 No.4, pp.295 - 316

Received: 02 Apr 2023
Accepted: 30 May 2023
Published online: 05 Jan 2024 *

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