CLC number: TH161.12
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2017-07-12
Cited: 0
Clicked: 6345
Gong-quan Tao, Xing Du, He-ji Zhang, Ze-feng Wen, Xue-song Jin, Da-bin Cui. Development and validation of a model for predicting wheel wear in high-speed trains[J]. Journal of Zhejiang University Science A, 2017, 18(8): 603-616.
@article{title="Development and validation of a model for predicting wheel wear in high-speed trains",
author="Gong-quan Tao, Xing Du, He-ji Zhang, Ze-feng Wen, Xue-song Jin, Da-bin Cui",
journal="Journal of Zhejiang University Science A",
volume="18",
number="8",
pages="603-616",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1600693"
}
%0 Journal Article
%T Development and validation of a model for predicting wheel wear in high-speed trains
%A Gong-quan Tao
%A Xing Du
%A He-ji Zhang
%A Ze-feng Wen
%A Xue-song Jin
%A Da-bin Cui
%J Journal of Zhejiang University SCIENCE A
%V 18
%N 8
%P 603-616
%@ 1673-565X
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1600693
TY - JOUR
T1 - Development and validation of a model for predicting wheel wear in high-speed trains
A1 - Gong-quan Tao
A1 - Xing Du
A1 - He-ji Zhang
A1 - Ze-feng Wen
A1 - Xue-song Jin
A1 - Da-bin Cui
J0 - Journal of Zhejiang University Science A
VL - 18
IS - 8
SP - 603
EP - 616
%@ 1673-565X
Y1 - 2017
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A1600693
Abstract: In this paper, we present a comprehensive model for the prediction of the evolution of high-speed train wheel profiles due to wear. The model consists of four modules: a multi-body model implemented with the commercial multi-body software SIMPACK to evaluate the dynamic response of the vehicle and track; a local contact model based on Hertzian theory and a novel method, named FaStrip (Sichani et al., 2016), to calculate the normal and tangential forces, respectively; a wear model proposed by the University of Sheffield (known as the USFD wear function) to estimate the amount of material removed and its distribution along the wheel profile; and a smoothing and updating strategy. A simulation of the wheel wear of the high-speed train CRH3 in service on the Wuhan-Guangzhou railway line was performed. A virtual railway line based on the statistics of the line was used to represent the entire real track. The model was validated using the wheel wear data of the CRH3 operating on the Wuhan-Guangzhou line, monitored by the authors’ research group. The results of the predictions and measurements were in good agreement.
The paper presents a model for the prediction of wheel wear in high-speed trains and comparisons with experimental measurements. The model itself is not new, apart from using a different (and already published) method for solving local contact compared to other models having the same purpose and already published. However, the comparison with experimental data is interesting.
[1]Archard, J.F., 1953. Contact and rubbing of flat surfaces. Journal of Applied Physics, 24:981-988.
[2]Auciello, J., Ignesti, M., Malvezzi, M., et al., 2012. Development and validation of a wear model for the analysis of the wheel profile evolution in railway vehicles. Vehicle System Dynamics, 50(11):1707-1734.
[3]Ayasse, J.B., Chollet, H., 2005. Determination of the wheel rail contact patch in semi-Hertzian conditions. Vehicle System Dynamics, 43(3):161-172.
[4]Braghin, F., Lewis, R., Dwyer-Joyce, R.S., et al., 2006. A mathematical model to predict railway wheel profile evolution due to wear. Wear, 261(11-12):1253-1264.
[5]Cui, D.B., Wang, H.Y., Li, L., et al., 2015. Optimal design of wheel profiles for high-speed trains. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 229(3):248-261.
[6]Di Gialleonardo, E., Braghin, F., Bruni, S., 2012. The influence of track modelling options on the simulation of rail vehicle dynamics. Journal of Sound and Vibration, 331(19):4246-4258.
[7]Ding, J., Sun, S., Qi, Z., et al., 2013. Wheel wear prediction of railway freight car based on wheel/rail creep mechanism. Tribology, 33(3):236-244 (in Chinese).
[8]Ding, J., Li, F., Huang, Y., et al., 2014. Application of the semi-Hertzian method to the prediction of wheel wear in heavy haul freight car. Wear, 314(1-2):104-110.
[9]Enblom, R., Berg, M., 2005. Simulation of railway wheel profile development due to wear–influence of disc braking and contact environment. Wear, 258(7-8):1055-1063.
[10]Han, P., Zhang, W., 2015. A new binary wheel wear prediction model based on statistical method and the demonstration. Wear, 324-325:90-99.
[11]Ignesti, M., Marini, L., Meli, E., et al., 2012a. Development of a model for the prediction of wheel and rail wear in the railway field. Journal of Computational and Nonlinear Dynamics, 7(4):041004.
[12]Ignesti, M., Malvezzi, M., Marini, L., et al., 2012b. Development of a wear model for the prediction of wheel and rail profile evolution in railway systems. Wear, 284-285: 1-17.
[13]Ignesti, M., Innocenti, A., Marini, L., et al., 2013. Development of a model for the simultaneous analysis of wheel and rail wear in railway systems. Multibody System Dynamics, 31(2):191-240.
[14]Innocenti, A., Marini, L., Meli, E., et al., 2014. Development of a wear model for the analysis of complex railway networks. Wear, 309(1-2):174-191.
[15]Jendel, T., 2002. Prediction of wheel profile wear– comparisons with field measurements. Wear, 253(1-2):89-99.
[16]Jin, X.S., Wu, P.B., Wen, Z.F., 2002. Effects of structure elastic deformations of wheelset and track on creep forces and wheel/rail rolling contact. Wear, 253(1-2):247-256.
[17]Kalker, J.J., 1966. A Strip Theory for Rolling with Slip and Spin. Internal Report 327, Department of Mechanical Engineering, Delft University of Technology, the Netherlands.
[18]Kalker, J.J., 1967. On the Rolling Contact of Two Elastic Bodies in the Presence of Dry Friction. PhD Thesis, Delft University of Technology, the Netherlands.
[19]Kalker, J.J., 1982. A fast algorithm for the simplified theory of rolling contact. Vehicle System Dynamics, 11(1):1-13.
[20]Kalker, J.J., 1990. Three-dimensional Elastic Bodies in Rolling Contact. Kluwer Academic Publishers, Dordrecht, the Netherlands.
[21]Lewis, R., Dwyer-Joyce, R., 2004. Wear mechanisms and transitions in railway wheel steels. Proceedings of the Institution of Mechanical Engineers, Part J: Journal Engineering Tribology, 218(6):467-478.
[22]Lewis, R., Dwyer-Joyce, R., Olofsson, U., et al., 2010. Mapping railway wheel material wear mechanisms and transitions. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 224(3):125-137.
[23]Li, X., Jin, X.S., Wen, Z.F., et al., 2011. A new integrated model to predict wheel profile evolution due to wear. Wear, 271(1-2):227-237.
[24]Li, Z., Zhao, X., Dollevoet, R., et al., 2008a. Differential wear and plastic deformation as causes of squat at track local stiffness change combined with other track short defects. Vehicle System Dynamics, 46(sup1):237-246.
[25]Li, Z., Zhao, X., Esveld, C., et al., 2008b. An investigation into the causes of squats—correlation analysis and numerical modeling. Wear, 265:1349-1355.
[26]Sichani, M.Sh., Enblom, R., Berg, M., 2016. An alternative to FASTSIM for tangential solution of the wheel/rail contact. Vehicle System Dynamics, 54(6):748-764.
[27]Tao, G.Q., Wen, Z.F., Zhao, X., et al., 2016. Effects of wheel-rail contact modelling on wheel wear simulation. Wear, 366-367:146-156.
[28]Wang, J.B., Song, C.Y., Wu, P.B., et al., 2016. Wheel re-profiling interval optimization based on dynamic behavior evolution for high-speed trains. Wear, 366-367:
[29]316-324.
[30]Wang, W.J., Lewis, R., Yang, B., et al., 2016. Wear and damage transitions of wheel and rail materials under various contact conditions. Wear, 362-363:146-152.
[31]Zhai, W.M., Wang, K.Y., Cai, C.B., 2009. Fundamentals of vehicle-track coupled dynamics. Vehicle System Dynamics, 47(11):1349-1376.
[32]Zhao, X., Li, Z., 2011. The solution of frictional wheel/rail rolling contact with a 3D transient finite element model: validation and error analysis. Wear, 271(1-2):444-452.
[33]Zobory, I., 1997. Prediction of wheel/rail profile wear. Vehicle System Dynamics, 28(2-3):221-259.
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