How to cite this paper
Yenealem, H., Redda, D & Mohammedseid, A. (2023). The effect of hardness matching of rail/wheel materials on wear rate of railway wheel.Engineering Solid Mechanics, 11(3), 271-280.
Refrences
Diana, G., Bruni, S., Di Gialleonardo, E., Corradi, R., & Facchinetti, A. (2016). A study of the factors affecting flange-climb derailment in railway vehicles. Civil-Comp Proceedings, 110(September 2019). https://doi.org/10.4203/ccp.110.63
Dirks, B. (2015). Simulation and measurement of wheel on rail fatigue and wear.
Jiang, Y., Zhong, W., Wu, P., Zeng, J., Zhang, Y., & Wang, S. (2019). Prediction of wheel wear of different types of articulated monorail based on co-simulation of MATLAB and UM software. Advances in Mechanical Engineering, 11(6), 1–13. https://doi.org/10.1177/1687814019856841
Jin, X. C., & Ahmadian, M. (2013). Wheel wear predictions and analyses of high-speed trains. Nonlinear Engineering, 1(3–4), 91–99. https://doi.org/10.1515/nleng-2012-0010
Kaiser, I. (2012). Refining the modelling of vehicle-track interaction. Vehicle System Dynamics, 50(SUPPL. 1), 229–243. https://doi.org/10.1080/00423114.2012.671948
Kalinowski, A., Radek, N., & Bronček, J. (2021). SAFETY of OPERATION and MAINTENANCE ACTIVITIES of ROLLING STOCKS by the EXAMPLE of ELECTRIC MULTIPLE UNITS EN96. Communications - Scientific Letters of the University of Žilina, 23(1), F11–F19. https://doi.org/10.26552/COM.C.2021.1.F11-F19
Kimura, T., Takemasa, M., & Honjo, M. (2011). Development of SP3 rail with high wear resistance and rolling contact fatigue resistance for heavy haul railways. JFE Technical Report, 16(16), 32–37. https://doi.org/10.2320/materia.50.123
Lewis, R., Magel, E., Wang, W., Olofsson, U., Lewis, S., Slatter, T., & Beagles, A. (n.d.). Towards a Standard Approach for Wear Testing of Wheel and Rail Materials. 1–26.
Lewis, R., Olofsson, U., & Hallam, R. I. (2005). Wheel Material Wear Mechanisms and Transitions. 14th International Wheelset Congress, 17–21.
Lewis, R., Wang, W. J., Burstow, M., & Lewis, S. R. (2016). Investigation of the influence of rail hardness on the wear of rail and wheel materials under dry conditions. Civil-Comp Proceedings, 110(April). https://doi.org/10.4203/ccp.110.151
Liu, J., Jiang, W., Chen, S., & Liu, Q. (2016). Effects of rail materials and axle loads on the wear behavior of wheel/rail steels. Advances in Mechanical Engineering, 8(7), 1–12. https://doi.org/10.1177/1687814016657254
Meghoe, A., Loendersloot, R., Bosman, R., & Tinga, T. (2008). Rail Wear Estimation for Predictive Maintenance : a strategic approach. 1–11.
Orvnäs, A. (2005). Simulation of Rail Wear on the Swedish Light Rail Line Tvärbanan. KTH Royal Institute of Technology.
Santamaria, J., Vadillo, E. G., & Oyarzabal, O. (2009). Wheel-rail wear index prediction considering multiple contact patches Wheel-rail wear index prediction considering multiple contact patches. 267, 1100–1104. https://doi.org/10.1016/j.wear.2008.12.040
Šlapák, J., & Michálek, T. (2021). Vehicle/track interaction under the conditions of high speed railway operation. Acta Polytechnica CTU Proceedings, 31(March), 45–52. https://doi.org/10.14311/APP.2021.31.0045
Telliskivi, T., & Olofsson, U. (2004). Wheel-rail wear simulation. Wear, 257(11), 1145–1153. https://doi.org/10.1016/j.wear.2004.07.017
Vollebregt, E. A. H., & Wilders, P. (2011). FASTSIM2: A second-order accurate frictional rolling contact algorithm. Computational Mechanics, 47(1), 105–116. https://doi.org/10.1007/s00466-010-0536-7
Zhang, D., Hu, H., Liu, Y., & Dai, L. (2014). Railway train wheel maintenance model and its application. Transportation Research Record, 2448(December), 28–36. https://doi.org/10.3141/2448-04
Zhang, H., Wei, X., Guan, Q., & Zhang, W. (2022). Joint Maintenance Strategy Optimization for Railway Bogie Wheelset. Applied Sciences, 12(14), 6934. https://doi.org/10.3390/app12146934
Zhang, W. (2020). Dynamic modeling of coupled systems in the high-speed train. Dynamics of Coupled Systems in High-Speed Railways, 1, 55–181. https://doi.org/10.1016/b978-0-12-813375-0.00002-9
Dirks, B. (2015). Simulation and measurement of wheel on rail fatigue and wear.
Jiang, Y., Zhong, W., Wu, P., Zeng, J., Zhang, Y., & Wang, S. (2019). Prediction of wheel wear of different types of articulated monorail based on co-simulation of MATLAB and UM software. Advances in Mechanical Engineering, 11(6), 1–13. https://doi.org/10.1177/1687814019856841
Jin, X. C., & Ahmadian, M. (2013). Wheel wear predictions and analyses of high-speed trains. Nonlinear Engineering, 1(3–4), 91–99. https://doi.org/10.1515/nleng-2012-0010
Kaiser, I. (2012). Refining the modelling of vehicle-track interaction. Vehicle System Dynamics, 50(SUPPL. 1), 229–243. https://doi.org/10.1080/00423114.2012.671948
Kalinowski, A., Radek, N., & Bronček, J. (2021). SAFETY of OPERATION and MAINTENANCE ACTIVITIES of ROLLING STOCKS by the EXAMPLE of ELECTRIC MULTIPLE UNITS EN96. Communications - Scientific Letters of the University of Žilina, 23(1), F11–F19. https://doi.org/10.26552/COM.C.2021.1.F11-F19
Kimura, T., Takemasa, M., & Honjo, M. (2011). Development of SP3 rail with high wear resistance and rolling contact fatigue resistance for heavy haul railways. JFE Technical Report, 16(16), 32–37. https://doi.org/10.2320/materia.50.123
Lewis, R., Magel, E., Wang, W., Olofsson, U., Lewis, S., Slatter, T., & Beagles, A. (n.d.). Towards a Standard Approach for Wear Testing of Wheel and Rail Materials. 1–26.
Lewis, R., Olofsson, U., & Hallam, R. I. (2005). Wheel Material Wear Mechanisms and Transitions. 14th International Wheelset Congress, 17–21.
Lewis, R., Wang, W. J., Burstow, M., & Lewis, S. R. (2016). Investigation of the influence of rail hardness on the wear of rail and wheel materials under dry conditions. Civil-Comp Proceedings, 110(April). https://doi.org/10.4203/ccp.110.151
Liu, J., Jiang, W., Chen, S., & Liu, Q. (2016). Effects of rail materials and axle loads on the wear behavior of wheel/rail steels. Advances in Mechanical Engineering, 8(7), 1–12. https://doi.org/10.1177/1687814016657254
Meghoe, A., Loendersloot, R., Bosman, R., & Tinga, T. (2008). Rail Wear Estimation for Predictive Maintenance : a strategic approach. 1–11.
Orvnäs, A. (2005). Simulation of Rail Wear on the Swedish Light Rail Line Tvärbanan. KTH Royal Institute of Technology.
Santamaria, J., Vadillo, E. G., & Oyarzabal, O. (2009). Wheel-rail wear index prediction considering multiple contact patches Wheel-rail wear index prediction considering multiple contact patches. 267, 1100–1104. https://doi.org/10.1016/j.wear.2008.12.040
Šlapák, J., & Michálek, T. (2021). Vehicle/track interaction under the conditions of high speed railway operation. Acta Polytechnica CTU Proceedings, 31(March), 45–52. https://doi.org/10.14311/APP.2021.31.0045
Telliskivi, T., & Olofsson, U. (2004). Wheel-rail wear simulation. Wear, 257(11), 1145–1153. https://doi.org/10.1016/j.wear.2004.07.017
Vollebregt, E. A. H., & Wilders, P. (2011). FASTSIM2: A second-order accurate frictional rolling contact algorithm. Computational Mechanics, 47(1), 105–116. https://doi.org/10.1007/s00466-010-0536-7
Zhang, D., Hu, H., Liu, Y., & Dai, L. (2014). Railway train wheel maintenance model and its application. Transportation Research Record, 2448(December), 28–36. https://doi.org/10.3141/2448-04
Zhang, H., Wei, X., Guan, Q., & Zhang, W. (2022). Joint Maintenance Strategy Optimization for Railway Bogie Wheelset. Applied Sciences, 12(14), 6934. https://doi.org/10.3390/app12146934
Zhang, W. (2020). Dynamic modeling of coupled systems in the high-speed train. Dynamics of Coupled Systems in High-Speed Railways, 1, 55–181. https://doi.org/10.1016/b978-0-12-813375-0.00002-9