Research on wheel set wear model of urban rail transit train
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摘要: 为实时掌握城市轨道交通列车轮对在列车运行过程中的磨耗情况,结合某地铁线网下实际轮/轨参数,建立机车及轨道多体动力学模型,以仿真实际的轮轨接触作用。将动力学模型输出的轮轨接触变量与接触斑分析算法相结合,实现接触斑内滑动矢量的计算及黏滑区的界定。利用Archard磨耗模型分析接触斑滑动区,以获得接触斑内垂直磨耗情况。最后以接触变量分析-磨耗计算-型面更新为主体结构,采用多次循环的轮对磨耗仿真流程模拟轮对的磨耗过程,完成轮对磨耗模型的建立。将模型输出的轮对型面与实测型面进行对比,验证了模型的准确性。
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关键词:
- 轮对磨耗 /
- 接触斑分析算法 /
- Archard磨耗模型
Abstract: In order to grasp the wheel set wear of urban rail transit during the train operation, this paper established a locomotive and track multi-body dynamic model based on the actual wheel/rail parameters under a subway line network, and simulated the contact relationship of actual wheel-rail. The wheel-rail contact variables output by the dynamic model were combined with the contact spot analysis algorithm to analyze the wheel-rail contact spots, and implement the calculation of the sliding vector and the definition of the stick-slip zone within the contact spots. The paper used an Archard abrasion model to analyze the sliding area in the contact spot, and obtain the vertical wear distribution in the contact spot. Finally, the paper used the contact variable analysis-abrasion calculation-profile updating as the main structure, used the wheel set wear simulation process to simulate the wheel-wear abrasion process multiple times, and complete the establishment of the wheel set wear model. The accuracy of the model was verified by comparing the model output profile of wheel set with the measured profile.-
Keywords:
- wheel set wear /
- contact spot analysis algorithm /
- Archard wear model
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[1] Xin Yang, Jianjun Wu, Huijun Sun, et al. Performance improvement of energy consumption, passenger time and robustness in metro systems:A multi-objective timetable optimization approach[J]. Computers & Industrial Engineering, 2019, 137.
[2] M. Michnej, S. Guzowski. Fretting wear simulation in a clamped joint based on the example of a rail vehicle wheel set[J]. Wear, 2019:438-439.
[3] Asier Alonso, Carlos Casanueva, Javier Perez, et al. Modelling of rough wheel-rail contact for physical damage calculations[J]. Wear, 2019:436-437.
[4] Zhiwei Wang, Ruichen Wang, David Crosbee, et al. Wheel wear analysis of motor and unpowered car of a high-speed train[J]. Wear, 2019:444-445.
[5] F. Braghina, R. Lewisb, R. S. Dwyer Joyceb, et al. A mathematical model to predict railway wheel profile evolution due to wear[J]. Wear, 2006, 261(11/12):1253-1264.
[6] Jendel T. Prediction of wheel Profile wear-comparisons with field measurements[J]. Wear, 2002(253):89-99.
[7] Zhu W, Yang D, Huang J. A hybrid optimization strategy for the maintenance of the wheels of metro vehicles:Vehicle turning, wheel re-profiling, and multi-template use[J]. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail & Rapid Transit, 2017, 232(3):1-10.
[8] 魏云鹏,韩峰,王保成,等. 基于SIMPACK的缓和曲线段高速行车动力响应分析[J]. 铁路计算机应用, 2018, 27(9):8-12 , 16.
[9] Matin Sh. Sichani, Roger Enblom, Mats Berg. A fast wheelrail contact model for application to damage analysis in vehicle dynamics simulation[J]. Wear, 2016(366/367):123-130.
[10] Zhiyun Shen, Zili Li. A fast non-steady state creep force model based on the simplified theory[J]. Wear, 1996(191):242-244.
[11] H.H. Ding, C.G. He, L. Ma, et al. Wear mapping and transitions in wheel and rail materials under different contact pressure and sliding velocity conditions[J]. Wear, 2016(352/353):1-8.
[12] Ai Hua Zhu, Si Yang, Qiang Li, et al. Simulation and measurement study of metro wheel wear based on the Archard model[J]. Industrial Lubrication and Tribology, 2019, 71(2):284-294.
[13] Tanel Telliskivi. Simulation of wear in a rolling-sliding contact by a semi-Winkler model and the Archard's wear law[J]. Wear, 2004, 256(7/8):817-831.
[14] 罗仁,曾京,戴焕云,等. 高速列车车轮磨耗预测仿真[J]. 摩擦学学报, 2009, 29(6):551-558. [15] Luo R, Shi H, Teng W, et al. Prediction of Wheel Profile Wear and Vehicle Dynamics Evolution Considering Stochastic Parameters for High-Speed Train[J]. Wear, 2017(392-393):126-138.
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