Session: 07-08-02: Multibody Dynamic Systems and Applications II

Paper Number: 138576

138576 - Study on the Influence of Worn Rail on Subway Wheel Wear Prediction Based on Iteration Dynamics Simulation 

Due to the increasing mileage of current subway operation, vehicle maintenance problems are receiving increasing attention, among which wheel wear problems have been one of the main focuses. Flange wear is one of the main problems associated with subway wheel wear. When subway vehicles pass through small-radius curves, the lateral displacement of the wheelset is large, and the wheel flange contacts the side of the rail, which leads to greater normal stress and relative velocity on the contact patch, causing rail profile side wear and wheel flange wear. The purpose of this paper is to study the effect of rail wear on the curve on the evolution of subway wheel wear by introducing the worn rail profile into the subway wheel wear prediction model and performing iterative dynamic simulations to more accurately predict the wheel flange wear of subway vehicles.

A certain type of subway vehicle was examined in this paper. Based on the measured worn rail profiles on the curve, a vehicle dynamics model of this type of subway was established. The evolution of wheel wear during vehicle-on-curve motion was obtained via iterative dynamics simulation. The effect of abrasive rails on the wear of subway wheels was investigated. The simulation results show that when significant wear occurs on the rail profile on the curve, although the difference in the wear volume rate under different operating conditions reaches 82.95%, the difference in the average wear volume during the whole operation is only 23.78%. Therefore, it is necessary to propose a model for updating rail profiles in wheel wear prediction simulations. To evaluate the accuracy of the wear simulation prediction, a measure of the influence of the rail profile on the wheel wear distribution based on the Manhattan distance and correlation coefficient is proposed. When the worn rail profile is used to predict the wheel wear distribution, the Manhattan distances under the different rail profile updating simulation conditions are significantly lower by more than 51.99% compared with those under the new rail condition. By comparing the correlation coefficients of wheel wear distributions under different rail profile updating strategies, rail wear on the curve has a significant effect on the distribution of wheel wear from the rear wheelsets of each bogie. In subway wheel wear prediction, considering the fixed characteristics of the operation mode and line, when using a simulation method based on dynamics to predict wheel wear, this paper proposes a rail profile updating strategy and analysis model based on a reasonable amount of rail side wear, which can effectively improve the influence of the rail profile on the evolution of wheel wear and the accuracy of wheel and rail wear prediction under different reprofiling cycles.

Presenting Author: Zheng Yin Tongji University

Presenting Author Biography: Yin Zheng received the B.S. degree in Vehicle Engineering from Tongji University, Shanghai, China in 2022. He is currently working toward the M.S. degree in Vehicle Engineering with Institution of Rail Transit, Tongji University, Shanghai, China. His research interests include railway vehicle dynamics and wheel-rail contact analysis.

Authors:

Zheng Yin Tongji University
Zhenggang Lu Tongji University
Zhipeng Jing Tongji Unversity
Juyao Wei Tongji University