Skipper, W.A. orcid.org/0000-0001-8315-2656, Nadimi, S., Watson, M. et al. (2 more authors) (2023) Quantifying the effect of particle characteristics on wheel/rail adhesion & damage through high pressure torsion testing. Tribology International, 179. 108190. ISSN 0301-679X
Abstract
Low adhesion in the wheel/rail contact is a problem for the rail industry in Great Britain as it causes significant scheduling and safety issues. Applying sand to the wheel/rail contact is used to mitigate against low adhesion however, there is not a consensus on what makes a “good” particle for restoring adhesion, especially with regards to when the particle has entered the wheel/rail contact. The aim of this work was to investigate what particle characteristics had the greatest effect on wheel/rail adhesion and surface conditions, using a process of particle characterisation, tribological testing and statistical modelling. Particle size, shape, and hardness were all found to affect tribological performance. This knowledge can help guide future changes to sanding operations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Wheel/rail contact; Friction; Sanding; Leaves on the line |
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 Engineering and Physical Sciences Research Council EP/L01629X/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Jan 2023 10:01 |
Last Modified: | 04 Jan 2023 10:01 |
Published Version: | http://dx.doi.org/10.1016/j.triboint.2022.108190 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.triboint.2022.108190 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:194806 |