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Comparison of wear prediction models for different contact conditions
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Rail Vehicles.ORCID iD: 0000-0003-1583-4625
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Rail Vehicles. Bombardier Transportation, Swedem.ORCID iD: 0000-0002-3447-6686
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Rail Vehicles.ORCID iD: 0000-0002-2571-4662
2016 (English)In: Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics (IAVSD 2015), Graz, Austria, 17-21 August 2015 / [ed] Martin Rosenberger, Manfred Plöchl, Klaus Six, and Johannes Edelmann, CRC Press, 2016, p. 871-878Conference paper, Published paper (Refereed)
Abstract [en]

 Simulation of wheel and rail wear allows to predict long term profile evolution and thus, study the consequences of wheel damage in the dynamic behaviour of the vehicle, or study future maintenance requirements. Several models have been developed which try to solve the wear issue by relating the energy dissipated in the wheel-rail contact to the worn out material, from which two can be highlighted (Tg/A and Archard) which have significant differences on contact level. Even though, the prediction of long term wheel profile evolution has been validated with these two models, which means that for regular applications they seem to have an equivalent behaviour. In this work similarities and differences between the long term wear prediction methodologies are analysed, discussing their actual limitations. Then, these differences are exploited in specific operational cases to compare their wear prediction performance.

Place, publisher, year, edition, pages
CRC Press, 2016. p. 871-878
Keywords [en]
Wheel, Transitions, Simulation
National Category
Vehicle Engineering Tribology (Interacting Surfaces including Friction, Lubrication and Wear) Mechanical Engineering
Research subject
Järnvägsgruppen - Fordonsteknik; The KTH Railway Group - Tribology
Identifiers
URN: urn:nbn:se:kth:diva-186157DOI: 10.1201/b21185-93ISI: 000385792300090Scopus ID: 2-s2.0-84973597938ISBN: 978-1-138-02885-2 (print)ISBN: 978-1-4987-7702-5 (print)OAI: oai:DiVA.org:kth-186157DiVA, id: diva2:925803
Conference
24th Symposium of the International Association for Vehicle System Dynamics, IAVSD 2015, Graz, Austria, 17 August 2015 through 21 August 2015
Note

QC 20160511

Available from: 2016-05-03 Created: 2016-05-03 Last updated: 2022-06-22Bibliographically approved

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Citation style
  • apa
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More languages
Output format
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