Title of article :
A new integrated model to predict wheel profile evolution due to wear
Author/Authors :
Xia Li، نويسنده , , Xuesong Jin and Wanming Zhai، نويسنده , , Zefeng Wen، نويسنده , , Dabin Cui، نويسنده , , Weihua Zhang، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2011
Pages :
11
From page :
227
To page :
237
Abstract :
The important published papers on railway wheel profile wear in the past are reviewed and have been highlighted. A wheel profile wear prediction methodology is developed to improve an extant model and used to predict the wear of the wheels of railway vehicle operating on sharp curved tracks. The methodology includes the coupling dynamics of railway vehicle and track, the three-dimensional contact geometry analysis of wheel/rail, Kalkerʹs non-Hertzian rolling contact theory, and Archard wear model. The normal loads, creepages and lateral displacements of the wheel/rail are first obtained through the coupling dynamics analysis of the vehicle/track. Then the wheel/rail contact geometry calculation is carried out to get the normal gap between the undeformed wheel/rail. Based on the attained parameters, the wheel–rail rolling contact is calculated using the modified Kalkerʹs non-Hertzian theory, and the normal stress, slip and contact areas are obtained. Afterwards, the Archard wear model is used to calculate the wear depth on the wheel tread, and the two means, which are called the smoothing spline and the Super-smother, are used to smooth the wear distribution curve and the updated wheel profile due to the accumulated wear after a number of passages. A numerical example is presented to verify the present effective methodology. The obtained numerical results are reasonable, and indicate that the numerically reproduced wear phenomena of the wheels of the vehicle are consistent with those occurred at railway sites.
Keywords :
Coupling dynamic model , Wheel wear , Wear model , Non-Hertzian theory
Journal title :
Wear
Serial Year :
2011
Journal title :
Wear
Record number :
1091963
Link To Document :
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