Thermal Response Analysis of Wheel-rail Sliding Contact Based on W-M Fractal Function

被引:0
|
作者
Ding X. [1 ]
Yang B. [1 ]
Rong Y. [2 ]
Xiao S. [1 ]
Yang G. [1 ]
Zhu T. [1 ]
机构
[1] State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu
[2] CRRC Qingdao Sifang Rolling Stock Research Institute Co., Ltd., Qingdao
关键词
direct coupling method; fractal function; rough surface; thermal response; wheel-rail sliding contact;
D O I
10.3901/JME.2023.21.356
中图分类号
学科分类号
摘要
:The W-M fractal function is used to establish a two-dimensional wheel-rail elastic contact model considering the roughness of the rail surface, the influence of temperature on the material parameters and the friction coefficient is introduced in the model. The direct coupling method is utilized to simulate the wheel sliding 45 mm along the rail at a speed of 1 m/s, and the characteristics of the thermal response of the wheel-rail sliding contact with rough surface are illustrated. The accuracy of the finite element contact algorithm is calculated by Hertz theory. On this basis, the variation of contact stress with fractal function independent variable dimension D and scale coefficient G under the influence of surface profile are studied, and the reliability of the finite element model to simulate rough surface is verified. The results show that the rough surface does not affect the distribution characteristics of the wheel-rail temperature field, but it will cause the fluctuation of the wheel-rail surface temperature and temperature rise process. The maximum surface temperature difference of the wheel pre and post of the test is 4 °C, while that of the rail is 10 °C. Furthermore, the maximum surface temperature of the wheel is higher larger than that of the rail. The temperature fluctuation of the wheel and rail surface is controlled by D and G, but the influence law is different: the rail surface temperature changes linearly with the change of D and G, while the wheel surface temperature does not reflect a similar linear relationship. Therefore, the rail temperature fluctuation can be reasonably predicted with the help of the wheel-rail surface roughness characteristics. © 2023 Chinese Mechanical Engineering Society. All rights reserved.
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页码:356 / 366
页数:10
相关论文
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