Prediction Model and Verification of Wheel Wear in High-speed Trains

doi:10.3901/JME.2016.02.144

Abstract

Abstract: Wheel-tracking measurement is carried on to survey the wear law of wheel profiles of the high-speed trains in China. Numerical prediction function of wheel wear model is proposed according to a large number of these measured data in this article. Abrasion losses are fitting to get the polynomial fitting function on different locations of wheel profiles at fixed operation mileage. And further, the second fitting is conducted to predict the coefficients of the above polynomial function. The binary numerical prediction model is raised to predict the abrasion losses as a function of wear location and operation mileage. The applicable and the accuracy of the prediction model are proved by the comparison of the tested wear profile curves and the predicted ones. Vehicle system dynamics models are also established to compare wheel/rail contact points, equivalent conicity, wheel/rail contact forces and the safety of vehicle which are calculated with the tested and the predicted wear profiles respectively. The results show that the predicted profiles calculated by the proposed numerical prediction function have a great agreement with tested profiles both in the curve shapes and vehicle system dynamic performances.

Key words: high-speed trains, statistic characteristics of wheel wear, vehicle system dynamics, wear prediction, wheel profile measurement, wheel wear

CLC Number:

U270

HAN Peng, ZHANG Weihua. Prediction Model and Verification of Wheel Wear in High-speed Trains[J]. Journal of Mechanical Engineering, 2016, 52(2): 144-149.

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