A Railway Wheel Wear Prediction Tool Based on Multibody Software

Joao Pombo, X. Quost, N. Tassini, J. Ambrósio, M. Pereira, R. Lewis, R. Dwyer-Joyce, C. Ariaudo, N. Kuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Wheel wear prediction is a current key-topic in the field of railway research, as it has a big impact on economical and safety aspects in the design, operation and maintenance of train-sets. The aim of this work is to implement a flexible and predictive railway wheel wear tool to obtain, starting from a specific real vehicle mission, the wheel profiles evolution as a function of the distance run. The wear estimation tool consists of a collection of pre and post-processing packages interfaced with commercial multi-body software, which is used to study the railway dynamic problem. The computational tool implemented here is demonstrated through its application to several simulation scenarios. The purpose is to demonstrate the capabilities of the tool on wear prediction by evaluating the influence of the train design and of the track geometry and other boundary conditions. Special attention is also given to study how the wear evolution is affected by friction conditions between wheel and rail.

Original languageEnglish
Title of host publicationProceedings of the 11th Mini Conference on Vehicle System Dynamics Identification and Anomalies, VSDIA 2008
EditorsIstván Zobory
Pages159-168
Number of pages10
Publication statusPublished - Dec 2008
Externally publishedYes
Event11th Mini-Conference on Vehicle System Dynamics, Identification and Anomalies - Budapest University of Technology and Economics, Budapest, Hungary
Duration: 10 Nov 200812 Nov 2008
Conference number: 11

Conference

Conference11th Mini-Conference on Vehicle System Dynamics, Identification and Anomalies
Abbreviated titleVSDIA 2008
CountryHungary
CityBudapest
Period10/11/0812/11/08

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  • Cite this

    Pombo, J., Quost, X., Tassini, N., Ambrósio, J., Pereira, M., Lewis, R., ... Kuka, N. (2008). A Railway Wheel Wear Prediction Tool Based on Multibody Software. In I. Zobory (Ed.), Proceedings of the 11th Mini Conference on Vehicle System Dynamics Identification and Anomalies, VSDIA 2008 (pp. 159-168)