Prediction of U75V Rail Wear Based on the Model of Tγ/A-wear Rate

doi:10.3901/JME.2025.21.345

Abstract

Abstract: With the increase of freight train volume and running speed, rail wear is aggravated, which reduces its service life and increases operating costs. In this paper, the U75V rail material Tγ/A-wear rate model is established, and the rail wear prediction model is established by combining dynamic simulation and numerical calculation methods. The prediction model is used to predict the wear law of rail in field service, and the key factors affecting rail wear (axle load, creep) are analyzed based on the prediction model. The results show that the U75V rail Tγ/A-wear rate model can be divided into three different wear areas, and the rail wear law obtained by simulation is basically consistent with the field measured results, which verifies the rationality of the prediction model. Axle load and creep are positively correlated with rail wear depth of U75V rail. The increase of axle load results in the decrease of creep, and the influence of creep on rail wear is great in the contact area of rail top. In the rail side contact area, axle load has great influence on rail wear. The above results show that the rail prediction method based on Tγ/A-wear rate model can provide technical guidance for the evolution of rail wear and the optimization of wear reduction measures.

Key words: wear prediction model, U75V rail, Tγ/A-wear rate, heavy haul railway, key factor of rail wear

CLC Number:

TH117

SU Jiabao, GUO Lichang, DING Haohao, AN Boyang, XU Jingmang, LIU Qiyue, WANG Wenjian. Prediction of U75V Rail Wear Based on the Model of Tγ/A-wear Rate[J]. Journal of Mechanical Engineering, 2025, 61(21): 345-354.

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