Quost, X., Tassini, N., Lewis, R. et al. (3 more authors) (2008) Predicting railway wheel wear starting from multi-body analysis: A preliminary study. In: Proccedings of the IEEE/ASME/ASCE 2008 Joint Rail Conference. IEEE/ASME/ASCE 2008 Joint Rail Conference, April 22–24, 2008, Wilmington, Delaware, USA. ASME , pp. 79-87.
Abstract
One of the key-elements of train design is the wheelset lifetime, which is strongly dependent on the levels of wheel wear. In order to reduce costs and increase safety, wheel wear needs to be predicted with increasing precision. In the past few years specific tools have been introduced to combine the predicted dynamic data from multi-body models, with the analytical computation of the wheel-rail contact parameters, to achieve an improved wear prediction. The aim of the present work is to consider the different methodologies for wear prediction and to create a wear prediction tool which is based on available railway dynamics codes enhanced by improved rolling contact analysis, combined with recent research on wear.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2008 by ASME |
Keywords: | PROFILE WEAR |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Mar 2016 11:10 |
Last Modified: | 23 Mar 2016 16:48 |
Published Version: | http://dx.doi.org/10.1115/JRC2008-63021 |
Status: | Published |
Publisher: | ASME |
Refereed: | Yes |
Identification Number: | 10.1115/JRC2008-63021 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:95086 |