Loughborough University
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Contact force estimation in the wheel/rail interface for curving scenarios through regions of reduced adhesion

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journal contribution
posted on 2017-11-10, 14:39 authored by Peter HubbardPeter Hubbard, Nabilah Farhat, Christopher Ward, G.A. Amarantidis
© 2017. Regions of extreme low-adhesion between the wheel and rail can cause critical problems in traction and braking. This can manifest in operational issues such as signals being passed at danger, or pessimistic network wide responses to mitigate for localised issues. Poor traction conditions can be caused by oil contaminants, rain, ice, condensation of water droplets (micro-wetting) or leaves on the line, where compressed leaf contamination can cause a rapid decrease in adhesion. The complexity of the problem arises as a result of the inability to directly measure and monitor all the factors involved. There remains a lack of real-time information regarding the state and location of low-adhesion areas across rail networks. On-board low adhesion detection technology installed to in-service vehicles is a suggested method to capture up-to-date adhesion information network wide and minimise significant disruptions and cancellations in railway schedules. This paper extends a principle of a model-based estimation technique previously developed in straight track running for operating in a curving scenario. The vehicle model of focus here will be a high-fidelity, multi-body physics representation of a full-vehicle.



  • Mechanical, Electrical and Manufacturing Engineering

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HUBBARD, P.D. ...et al., 2017. Contact force estimation in the wheel/rail interface for curving scenarios through regions of reduced adhesion. Mechatronics, 50, pp.321-327.


© Elsevier


  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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This paper was accepted for publication in the journal Mechatronics and the definitive published version is available at https://doi.org/10.1016/j.mechatronics.2017.06.013




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