• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2018, Vol. 54 ›› Issue (4): 14-21.doi: 10.3901/JME.2018.04.014

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Influence Analysis of Different Temperature and Humidity on High-speed Train Wheel Wear

XIAO Qian1,2, FANG Jiao1, YANG Yihang1,3, CHANG Chao1   

  1. 1. Modern Railway Vehicle Institute, East China Jiao tong University, Nanchang 330013;
    2. StateKey Laboratory of Traction Power, Southwest China Jiao tong University, Chengdu 610031;
    3. China Railway Materials Track Technology Service Group Company Limited, Beijing 100000
  • Received:2017-02-18 Revised:2017-12-20 Online:2018-02-20 Published:2018-02-20

Abstract: To further research on the influence of temperature and humidity on high-speed train wheel wear, on the basis of the existing test data, and statistical methods and Zobory, Archard wear model are used, temperature and humidity related functional model of friction coefficient and the considering the influences of temperature and humidity wear prediction model is deduced. The high-speed wheel/rail tangential contact relationship is defined on the basis of temperature and humidity related functional model of friction coefficient, and the mixed Eulerian/Lagrangian method is established by the steady-state rolling wheel/rail contact finite element model, the high-speed wheel/rail contact characteristic is analyzed under the conditions of different temperature and humidity, then the wear prediction model is used to analyze the condition of wheel contact spot wear characteristics under the different temperature and humidity condition. The last, the field monitoring data and the model prediction data are compared, and the considering the influence of temperature and humidity wear predictionmodel feasibility is analyzed. The results show:Without considering the effect of transverse and transverse force, with the rise of temperature and humidity, the wheel longitudinal creep force/rate, lateral creep force/rate, wear depth all showed a trend of decline; Compared with the field monitoring data and the model prediction data, and the correlation is good. At the same time, presents a more consistent change rule, so the considering the influences of temperature and humidity wear prediction model feasibility is stronger.

Key words: finite element model, high speed train, temperature and humidity, wheel rail wear

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