Bernal, E., Spiryagin, M., Stichel, S. et al. (5 more authors) (2022) Friction-slip curves – the pathway from twin-disc tribo measurements to full-scale locomotive multibody simulations. In: ASM/IEEE 2022 Joint Rail Conference. 2022 Joint Rail Conference, 20-21 Apr 2022, Virtual conference. American Society of Mechanical Engineers ISBN 9780791885758
Abstract
Locomotive multibody simulations are commonly used as a cost-effective tool to study, energy efficiency, wheel-rail wear, rolling contact fatigue, etc. The accuracy of the wheel-rail contact forces from multibody simulations depends on the correct modelling of the friction conditions. The friction coefficient is a function of the slip velocity, and it is influenced by several tribological parameters including, for example, material mechanical properties, environmental conditions and the presence of third body layers that vary spatially and temporally along the track. In most cases, generic friction-slip curves obtained from publications and public reports are used as inputs to the wheel-rail contact model in the locomotive simulations, as direct friction measurements using full-scale experimental set-ups are generally cost-prohibitive. A pathway to produce friction-slip curves from tribo-machine friction measurements is proposed in this paper. The pathway involves manufacturing discs from actual wheel and rail material samples to measure the traction coefficient at a spectrum of slip set points using a twin-disc tribo-machine. The tribo-machine results are scaled to be used in a locomotive multibody model that uses the modified Fastsim and a traction system co-simulation approach. Two friction curves for wet and dry conditions are processed and exemplified in a dynamic model.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2022 by ASME. |
Keywords: | Friction; slip; tribo-machine; scale experiment; locomotive; traction; multibody model; numerical analysis; modified Fastsim |
Dates: |
|
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: | 17 Aug 2023 13:12 |
Last Modified: | 17 Aug 2023 13:23 |
Status: | Published |
Publisher: | American Society of Mechanical Engineers |
Refereed: | Yes |
Identification Number: | 10.1115/jrc2022-84111 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:202548 |