Research on Crack Detection of High-speed Railway Axle Based on Direct Current Potential Drop

doi:10.3901/JME.2022.14.288

Abstract

Abstract: The axle is one of the important parts of the running gear of the high-speed rail vehicle, and the cracks produced during the service process will seriously affect the safety of the vehicle operation. At present, real-time online detection has not been realized. The use of ultrasonic and magnetic particle methods for on-site maintenance has problems such as low detection efficiency and complex operation. The direct current potential drop(DCPD) detection method is reliable and convenient, and can overcome the above-mentioned problems. Based on the principle of DCPD detection, a mathematical model for crack detection is established and combined with the Laplace equation for stable DC electric field, uses ABAQUS to establish a three-dimensional finite element model of a full-scale axle with cracks, and simulates a series of axles with semi-elliptical cracks of different depths. The potential drop signal in the crack area is analyzed, the relationship between the potential drop of the full-size high-speed rail axle and the crack depth is studied, and the calibration curve of the potential drop with the crack depth is drawn, and the relevant factors affecting the calibration curve are discussed. It is found that the crack surface is relative to the axis. Both the deflection angle and the relative position of the probe affect the selection of the calibration curve. The research results provide real-time ideas and methods for real-time detection of high-speed rail axle cracks.

Key words: DC potential drop, axle crack, detection method, calibration curve

CLC Number:

U270

ZHOU Suxia, LU Junlin, WU Yi, DUAN Suyu, SHAO Jing. Research on Crack Detection of High-speed Railway Axle Based on Direct Current Potential Drop[J]. Journal of Mechanical Engineering, 2022, 58(14): 288-295.

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