Study on correction of Polach model based on elastohydrodynamic coupling

Chunjun Chen; Runlin Li

doi:10.1117/12.2679398

18 July 2023 Study on correction of Polach model based on elastohydrodynamic coupling

Chunjun Chen, Runlin Li

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 127223E (2023) https://doi.org/10.1117/12.2679398
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

The oil-water medium on the track and wheel surface will directly affect the adhesion characteristics of wheel-rail and the braking performance of the train.In order to ensure the safe and stable braking of the train, it is a need to research the wheel-rail adhesion in oil-water medium. Based on the partial elastohydrodynamic lubrication theory, a numerical wheel-rail rolling contact model in the medium of oil-water was established. The influences of creep speed, train speed, surface roughness, wheel diameter and axle load on adhesion coefficient were analyzed. Based on the POLACH model with measured data, a functional friction factor is designed, which takes into account both train speed and creep speed. An improved POLACH model for describing the adhesion characteristics in the medium of oil-water is obtained, and the exactitude of the improved model is tested and verified by comparing with the experimental data. The simulation outcomes show that the adhesion coefficient based on improved POLACH model is consistent with the experimental results and meets requirements of BS EN 15595-2018 for wheel-rail adhesion characteristics, it provides a theoretical basis and engineering guidance for train traction and braking control.

Citation Download Citation

Chunjun Chen and Runlin Li "Study on correction of Polach model based on elastohydrodynamic coupling", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 127223E (18 July 2023); https://doi.org/10.1117/12.2679398

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