Trummer, G., Buckley-Johnstone, L.E., Voltr, P. et al. (3 more authors) (2017) Wheel-rail creep force model for predicting water induced low adhesion phenomena. Tribology International, 109. pp. 409-415. ISSN 0301-679X
Abstract
A computationally efficient engineering model to predict adhesion in rolling contact in the presence of water is presented which may be implemented in multibody dynamics software or in braking models to study train performance and braking strategies. This model has been developed in a project funded by the Rail Safety and Standards Board (RSSB) and Network Rail. It is referred to as the water-induced low adhesion creep force (WILAC) model. The model covers a wide range of conditions from dry over damp to wet. Special emphasis is put on little amounts of water which can cause low adhesion without any oil or grease. Such conditions may be encountered in humid weather or at the onset of rain. The model is parameterised based on experimental results from a tram wheel test rig. Adhesion values as low as 0.06 are observed at high creep with only wear debris and little water present in the contact. The model results also agree with experimental data from locomotive tests in dry and wet conditions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier. This is an author produced version of a paper subsequently published in Tribology International. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
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) |
Funding Information: | Funder Grant number RAILWAY SAFETY AND STANDARDS BOARD UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Feb 2017 15:21 |
Last Modified: | 10 Jan 2018 01:38 |
Published Version: | https://doi.org/10.1016/j.triboint.2016.12.056 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.triboint.2016.12.056 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:111226 |
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Filename: Trib Int 2016 WILAC Low Adhesion Model ARC.pdf
Licence: CC-BY-NC-ND 4.0