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

Sadaf Maramizonouz, Sadegh Nadimi, William Skipper, Roger Lewis

Railway Engineering Science ›› 2025

Railway Engineering Science ›› 2025 DOI: 10.1007/s40534-024-00365-1
Article

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

Author information +
History +

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.

Cite this article

Download citation ▾
Sadaf Maramizonouz, Sadegh Nadimi, William Skipper, Roger Lewis. CFD–DEM modelling of particle entrainment in wheel–rail interface: a parametric study on particle characteristics. Railway Engineering Science, 2025 https://doi.org/10.1007/s40534-024-00365-1

References

[1.]
Skipper WA, Chalisey A, Lewis R. A review of railway sanding system research: adhesion restoration and leaf layer removal. Tribol-Mater, Surf & Interfaces, 2018, 12(4): 237-251
CrossRef Google scholar
[2.]
Skipper WA, Nadimi S, Chalisey A, et al.. Particle characterisation of rail sands for understanding tribological behaviour. Wear, 2019, 432: 202960
CrossRef Google scholar
[3.]
Arias-Cuevas O, Li Z, Lewis R. A laboratory investigation on the influence of the particle size and slip during sanding on the adhesion and wear in the wheel–rail contact". Wear, 2011, 271(1–2): 14-24
CrossRef Google scholar
[4.]
Cooper PR (1972) An investigation into the relationship between the particle size and the frictional performance of sand. IM-ADH-011, British Rail Research
[5.]
Lewis S, Riley S, Fletcher D, et al.. Optimisation of a railway sanding system for optimal grain entrainment into the wheel–rail contact. Proc Inst Mech Eng, Part F: J Rail Rapid Transit, 2018, 232(1): 43-62
CrossRef Google scholar
[6.]
Skipper W, Chalisey A. Lewis R (2020) A review of railway sanding system research: Wheel/rail isolation, damage, and particle application,. Proc Inst Mech Eng, Part F: J Rail Rapid Transit, 2020, 234(6): 567-583
CrossRef Google scholar
[7.]
Lewis R, Dwyer-Joyce R. Wear at the wheel/rail interface when sanding is used to increase adhesion. Proc Inst Mech Eng, Part F: J Rail Rapid Transit, 2006, 220(1): 29-41
CrossRef Google scholar
[8.]
Wang C, Shi LB, Ding HH, et al.. Adhesion and damage characteristics of wheel/rail using different mineral particles as adhesion enhancers. Wear, 2021, 477: 203796
CrossRef Google scholar
[9.]
Arias-Cuevas O, Li Z. Field investigations into the performance of magnetic track brakes of an electrical multiple unit against slippery tracks. Part 1: Adhesion improvement. Proc Ins Mech Eng, Part F: J Rail Rapid Transit, 2011, 225(6): 613-636
CrossRef Google scholar
[10.]
Descartes S, Renouf M, Fillot N, et al.. A new mechanical–electrical approach to the wheel-rail contact. Wear, 2008, 265(9–10): 1408-1416
CrossRef Google scholar
[11.]
Maramizonouz S, Nadimi S, Skipper W, et al.. Numerical modelling of particle entrainment in the wheel–rail interface. Comput Part Mech, 2023, 10: 2009-2019
CrossRef Google scholar
[12.]
Duan F (2015) Numerical tribology of the wheel–rail contact: Application to corrugation defect, Dissertation, INSA de Lyon
[13.]
Gautam A, Green S. Computational fluid dynamics discrete element method simulation of locomotive sanders. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2020, 235(1): 095440972090289
[14.]
Maramizonouz S, Nadimi S, Lewis R. CFD-DEM modelling of particle entrainment in wheel–rail interface: a parametric study on train characteristics. Acta Mech, 2024, 235: 6077-6087
CrossRef Google scholar
[15.]
Rail Safety and Standards Board (2018) Sanding equipment (issue 3), GMRT2461
[16.]
Thornton C. Granular dynamics, contact mechanics and particle system simulations: A DEM study, 2015, Cham, Springer
CrossRef Google scholar
[17.]
White FM. Fluid mechanics, 1979, New York, McGraw-Hill
[18.]
Crowe CT, Michaelides EE. Multiphase flow handbook, 2006, Boca Raton, CRC Press
[19.]
Maramizonouz S, Nadimi S. Drag force acting on ellipsoidal particles with different shape characteristics. Powder Technol, 2022, 412: 117964
CrossRef Google scholar
[20.]
Ganser GH. A rational approach to drag prediction of spherical and nonspherical particles,. Powder Technol, 1993, 77(2): 143-152
CrossRef Google scholar
[21.]
Wadell H. Volume, shape, and roundness of rock particles,. J Geol, 1932, 40(5): 443-451
CrossRef Google scholar
[22.]
Angelidakis V, Nadimi S, Otsubo M, et al.. CLUMP: a code library to generate universal multi-sphere particles. SoftwareX, 2021, 15: 100735
CrossRef Google scholar
[23.]
Angelidakis V, Nadimi S, Utili S. Elongation, flatness and compactness indices to characterise particle form. Powder Technol, 2022, 396: 689-695
CrossRef Google scholar
[24.]
Zingg T(1935) Beitrag zur Schotteranalyse. Dissertation, ETH Zurich
[25.]
Tsuji Y, Tanaka T, Ishida T. Lagrangian numerical simulation of plug flow of cohesionless particles in a horizontal pipe. Powder Technol, 1992, 71(3): 239-250
CrossRef Google scholar
[26.]
Maramizonouz S, Nadimi S, Skipper W, et al.. Characterisation of physical and mechanical properties of seven particulate materials proposed as traction enhancers. Sci Data, 2023, 10(1): 400
CrossRef Google scholar
[27.]
Maramizonouz S, Nadimi S, Skipper W, et al.. Characterisation and tribological testing of recycled crushed glass as an alternative rail sand. Proc Inst Mech Eng, Part F: J Rail Rapid Transit, 2023, 237(10): 1353-1358
CrossRef Google scholar
Funding
Engineering and Physical Sciences Research Council(EP/V053655/1)

Accesses

Citations

Detail

Sections
Recommended

/