Alturbeh, H., Lewis, R. orcid.org/0000-0002-4300-0540, Six, K. et al. (2 more authors) (2020) Improved modelling of trains braking under low adhesion conditions. Tribology - Materials Surfaces & Interfaces, 14 (3). pp. 131-141. ISSN 1751-5831
Abstract
Predicting the behaviour of trains when braking under low adhesion conditions presents considerable challenges. This paper describes an approach to the problem using a model of the full train braking system known as LABRADOR (Low Adhesion Braking Dynamic Optimization for Rolling Stock) and an improved method for representing the creep force–creepage behaviour when low adhesion is presently known as WILAC (Water Induced Low Adhesion Creep Force Model). The development of these models and their integration are summarized and a number of test cases are presented to demonstrate the improvements which can be gained from this approach. A number of suggestions are made for future enhancements with the aim of providing brake engineers and systems integrators with reliable simulation tools for optimizing train braking performance when low adhesion is present.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Institute of Materials, Minerals and Mining and Informa UK Limited, trading as Taylor & Francis Group. This is an author-produced version of a paper subsequently published in Tribology: Materials, Surfaces and Interfaces. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | train braking; low adhesion creep force model; brake model; wheel slide protection; braking simulation |
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: | 14 Feb 2020 11:04 |
Last Modified: | 09 Dec 2021 17:44 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/17515831.2020.1720379 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157027 |