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Prediction of wheel profile wear and crack growth - comparisons with measurements
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Rail Vehicles.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Rail Vehicles. Bombardier Transportation, Sweden .
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Rail Vehicles.
2016 (English)In: Wear, ISSN 0043-1648, E-ISSN 1873-2577, Vol. 366, 84-94 p.Article in journal (Refereed) Published
Abstract [en]

A model which can predict the length of the surface crack and crack depth in rails was developed in a previous study by the authors B. Dirks, R. Enblom, A. Ekberg, M. Berg (2015) []. In the present study, verification of this crack prediction model in combination with a wear prediction model was done against wheel measurements. For a period of 15 months, the wheels of three units of a Stockholm commuter train were measured with respect to wear and crack development for verification of the wheel life prediction tool. Vehicle-track dynamics simulations were used to calculate the forces and contact positions for the wear and crack prediction models. It can be concluded that the wear prediction model gives reasonable results, especially considering the large scatter in the wheel profile measurements. Although the wheel life prediction tool could not be verified, since the crack prediction model had to be recalibrated for the current wheel application, the results appear promising.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 366, 84-94 p.
Keyword [en]
Railway wheel wear, Rolling contact fatigue, Wheel-rail contact, Measurements, Simulation
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-198885DOI: 10.1016/j.wear.2016.06.026ISI: 000388259700010ScopusID: 2-s2.0-84994803305OAI: oai:DiVA.org:kth-198885DiVA: diva2:1062036
Conference
10th Conference on Contact Mechanics and Wear of Rail/Wheel Systems, 2015, Colorado Springs, CO
Note

QC 20170104

Available from: 2017-01-04 Created: 2016-12-22 Last updated: 2017-01-04Bibliographically approved

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