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CFD–DEM modelling of particle entrainment in wheel-rail interface: a parametric study on particle characteristics

Lookup NU author(s): Dr Sadaf MaramizonouzORCiD, Dr Sadegh NadimiORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

To mitigate and alleviate low wheel–rail adhesion, a train-borne system is utilised to deposit sand particles into the wheel–rail interface via a jet of compressed air in a process called rail-sanding. Britain Rail Safety and Standards Board introduced guidelines on the sand particles’ shape, size, and uniformity which needs to be adhered to for rail-sanding. To further investigate these guidelines and help improve them, this research presents a parametric study on the particle characteristics that affect the rail-sanding process including density, size and size distribution, coefficient of uniformity, and shape, utilising a coupled computational fluid dynamics–discrete element method (CFD–DEM) model. The efficiency of rail-sanding is estimated for each case study and compared to the benchmark to optimise the sand characteristics for rail-sanding. It is concluded that particle size distribution (within the accepted range) has an insignificant effect on the efficiency while increasing particle size or the coefficient of uniformity decreases the efficiency. Particle shape is shown to highly affect the efficiency for flat, compact and elongated particles compared to the spherical shape. The current numerical model is capable of accurately predicting the trends in the efficiency compared to the actual values obtained from full-scale experiments.


Publication metadata

Author(s): Maramizonouz S, Nadimi S, Skipper W, Lewis R

Publication type: Article

Publication status: Published

Journal: Railway Engineering Science

Year: 2025

Volume: 33

Pages: 259-270

Print publication date: 01/06/2025

Online publication date: 15/01/2025

Acceptance date: 30/10/2024

Date deposited: 03/12/2025

ISSN (electronic): 2662-4753

Publisher: SpringerOpen

URL: https://doi.org/10.1007/s40534-024-00365-1

DOI: 10.1007/s40534-024-00365-1


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Funding

Funder referenceFunder name
EP/V053655/1
EPSRC

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