Title: Fatigue damage detection method of nano ceramic coating rail based on acoustic signal acquisition

Authors: Zhinan Li; Yafei Li; Chenyou Li

Addresses: Department of Railway Locomotive and Rolling Stock, Hebei Vocational College of Rail Transportation, Shijiazhuang, 052160, China ' Department of Railway Locomotive and Rolling Stock, Hebei Vocational College of Rail Transportation, Shijiazhuang, 052160, China ' Department of Railway Locomotive and Rolling Stock, Hebei Vocational College of Rail Transportation, Shijiazhuang, 052160, China

Abstract: In order to reduce the fatigue damage detection error and improve the recall rate of fatigue damage data, this paper proposes a detection method based on acoustic signal acquisition for fatigue damage of nano ceramic coated rail. Firstly, the long-term fatigue behaviour of nano ceramic coated rail is analysed, and the typical damage evolution state of coating cracking at each stage is obtained. Then, based on the ultrasonic theory, the one-dimensional nonlinear elastic wave equation of rail vibration signal propagation process is constructed, and the modulated sidelobe signal of high-frequency ultrasonic is obtained. Finally, modulation parameters of rail fatigue damage are calculated by Fourier transform to determine the extent of fatigue damage. The experiment shows that the maximum error of the method for fatigue damage detection is only 0.5 mm, and the damage recall rate can reach 99.9%, indicating that the method improves the detection effect for fatigue damage.

Keywords: nano ceramic coating; rail; Fourier transform; acoustic signal; fatigue damage detection; ultrasonic theory; sidelobe signal.

DOI: 10.1504/IJMMP.2024.135799

International Journal of Microstructure and Materials Properties, 2024 Vol.17 No.1, pp.69 - 83

Received: 30 Dec 2022
Accepted: 31 Jul 2023
Published online: 05 Jan 2024 *