Wear characteristics and prediction of wheel profiles in high-speed trains
来源期刊：中南大学学报(英文版)2015年第8期
论文作者：HAN Peng ZHANG Wei-hua LI Yan
文章页码：3232 - 3238
Key words：high-speed trains; wheel wear; wear characteristics; wear prediction; vehicle system dynamics
Abstract: Wheel/rail relationship is a fundamental problem of railway system. Wear of wheel profiles has great effect on vehicle performance. Thus, it is important not just for the analysis of wear characteristics but for its prediction. Actual wheel profiles of the high-speed trains on service were measured in the high-speed line and the wear characteristics were analyzed which came to the following results. The wear location was centralized from -15 mm to 25 mm. The maximum wear value appeared at the area of 5 mm from tread center far from wheel flange and it was less than 1.5 mm. Then, wheel wear was fitted to get the polynomial functions on different locations and operation mileages. A binary numerical prediction model was raised to predict wheel wear. The prediction model was proved by vehicle system dynamics and wheel/rail contact geometry. The results show that the prediction model can reflect wear characteristics of measured profiles and vehicle performances.
HAN Peng(韩鹏)1, ZHANG Wei-hua(张卫华)1, LI Yan(李艳)2
(1. State key Laboratory of Traction Power (Southwest Jiaotong University), Chengdu 610031, China;
2. China Railway Eryuan Engineering Group Co. Ltd, Chengdu 610031, China)
Abstract:Wheel/rail relationship is a fundamental problem of railway system. Wear of wheel profiles has great effect on vehicle performance. Thus, it is important not just for the analysis of wear characteristics but for its prediction. Actual wheel profiles of the high-speed trains on service were measured in the high-speed line and the wear characteristics were analyzed which came to the following results. The wear location was centralized from -15 mm to 25 mm. The maximum wear value appeared at the area of 5 mm from tread center far from wheel flange and it was less than 1.5 mm. Then, wheel wear was fitted to get the polynomial functions on different locations and operation mileages. A binary numerical prediction model was raised to predict wheel wear. The prediction model was proved by vehicle system dynamics and wheel/rail contact geometry. The results show that the prediction model can reflect wear characteristics of measured profiles and vehicle performances.
Key words:high-speed trains; wheel wear; wear characteristics; wear prediction; vehicle system dynamics
