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F. Alves¹, H. Magalhães¹, J. Pagaimo¹, J.N. Costa¹, F. Marques^2,3, J. Pombo^1,4,5 and J. Ambrósio¹

¹IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
²CMEMS-UMinho, Departamento de Engenharia Mecânica, Universidade do Minho, Guimarães, Portugal
³LABBELS – Associate Laboratory, Braga/Guimarães, Portugal
⁴Institute of Railway Research, School of Computing and Engineering, University of Huddersfield, Huddersfield, UK
⁵ISEL, Instituto Politécnico de Lisboa, Lisboa, Portugal

doi:10.4203/ccc.1.21.5

F. Alves, H. Magalhães, J. Pagaimo, J.N. Costa, F. Marques, J. Pombo, J. Ambrósio, "Prediction of wheel wear using Hertzian and non-Hertzian contact models", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 21.5, 2022, doi:10.4203/ccc.1.21.5

Keywords: wear prediction, wheel-rail Contact, non-Hertzian contact, multibody dynamics.

Abstract

Railway vehicles are periodically immobilized for wheel replacement or reprofiling once they reach the wear limits established by standards. Enhancing wheel designs and operating conditions may reduce wheel wear, saving high maintenance costs. Multibody simulations are useful to predict wheel wear evolution because they allow comparing different wheel-rail contact models. In this context, this work describes in detail a wear prediction tool that addresses parameters that the current literature often omits. The wear prediction tool is used to perform wheel wear analysis where both Hertzian and non-Hertzian contact models are utilised and compared to each other, contributing to the small literature body covering non-Hertzian contact model and wear prediction.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 1 PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 21.5 Prediction of wheel wear using Hertzian and non-Hertzian contact models F. Alves¹, H. Magalhães¹, J. Pagaimo¹, J.N. Costa¹, F. Marques^2,3, J. Pombo^1,4,5 and J. Ambrósio¹ ¹IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal ²CMEMS-UMinho, Departamento de Engenharia Mecânica, Universidade do Minho, Guimarães, Portugal ³LABBELS – Associate Laboratory, Braga/Guimarães, Portugal ⁴Institute of Railway Research, School of Computing and Engineering, University of Huddersfield, Huddersfield, UK ⁵ISEL, Instituto Politécnico de Lisboa, Lisboa, Portugal doi:10.4203/ccc.1.21.5 Full Bibliographic Reference for this paper F. Alves, H. Magalhães, J. Pagaimo, J.N. Costa, F. Marques, J. Pombo, J. Ambrósio, "Prediction of wheel wear using Hertzian and non-Hertzian contact models", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 21.5, 2022, doi:10.4203/ccc.1.21.5 Keywords: wear prediction, wheel-rail Contact, non-Hertzian contact, multibody dynamics. Abstract Railway vehicles are periodically immobilized for wheel replacement or reprofiling once they reach the wear limits established by standards. Enhancing wheel designs and operating conditions may reduce wheel wear, saving high maintenance costs. Multibody simulations are useful to predict wheel wear evolution because they allow comparing different wheel-rail contact models. In this context, this work describes in detail a wear prediction tool that addresses parameters that the current literature often omits. The wear prediction tool is used to perform wheel wear analysis where both Hertzian and non-Hertzian contact models are utilised and compared to each other, contributing to the small literature body covering non-Hertzian contact model and wear prediction. download the full-text of this paper (PDF, 7 pages, 1134 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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