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Location: Home>Papers of Tribology
Simulation on Wheel Wear Prediction of High-Speed Train
2010-01-19 ArticleSource:General Office
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Abstract: In order to study the wheel wear Problem of high-speed train, the coupled model of vehicle multi-body dynamics and wheel wear was set up. The nonlinearities arising from the vehicle suspension system, wheel/rail contact geometry and wheel/rail creep force were considered in the model. The numerical simulation method was used to predict the distribution and development of wheel Profile wear. The vehicle passing through a length of typical track that was composed of several straight lines and different curved lines was taken into account. The dynamic simulation was used to obtain the wheel/rail contact state. FASTIM was adopted to calculate the wheel wear on wheel/rail contact Patch. The wear volume on wheel Profile was accumulated and the shape of wheel Profile was updated. Then, the next wear simulation cycle can be carried out. Through comparison and analysis, the wheel Profile was updated when the vertical wear depth reached 0. 1 mm. The Archard wear model , wear model based on wear energy and wear model based on wear index were utilized respectively to predict the development of wheel profile wear, and the measure d wheel wear of the vehicle running on actual lines was compared with the simulation results. It can be seen that the simulated wheel wear development had the same tendency with the measured results. The calculation results by the wear energy model and wear index model were similar, while the wheel flange wear calculated by the Archard model was relatively large. Therefore, thee efficient wear model should be selected according to the actual track line, and the wheel Profile wear can be predicted by the use of simulation method and that can provide the guidance for the safe and reliable operation of high speed trains.

Key words: vehicle engineering, high-speedtrain, prediction of wheel profile wear, dynamic simulation

Author: Luo Ren, Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu 610031, China

E-mail: luorenswjtu@tom.com

Tribology, Vol. 29, Issue 6, 2009, 551~558

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