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Prediction of Maximum Torsional Wheel-Set Axle Vibrations Considering Non-linear Adhesion Characteristics

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Abstract

Self-excited torsional wheel-set axle vibrations can lead to polygonization of wheels, cause discomfort for the passengers, and can lead to issues with the stability of the press-fit between wheel and wheel-set. To predict their amplitude, three different methods were investigated: a time-simulation for reference, an energy-method, and the 2cx-hypothesis. It was found that the 2cx-hypothesis shows significant deviations. The energy-method is very accurate (deviations smaller than 0.5%) while still significantly faster than the time-simulation. Thus, the energy method is a viable alternative to predict the amplitude of these vibrations.

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Acknowledgements

The authors would like to acknowledge the financial support of the COMET K2 – Competence Centers for Excellent Technologies Programme of the Federal Ministry for Transport, Innovation and Technology (bmvit), the Federal Ministry for Digital, Business and Enterprise (bmdw), the Austrian Research Promotion Agency (FFG), the Province of Styria and the Styrian Business Promotion Agency (SFG).

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Correspondence to Alexander Meierhofer .

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Meierhofer, A. et al. (2020). Prediction of Maximum Torsional Wheel-Set Axle Vibrations Considering Non-linear Adhesion Characteristics. In: Klomp, M., Bruzelius, F., Nielsen, J., Hillemyr, A. (eds) Advances in Dynamics of Vehicles on Roads and Tracks. IAVSD 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-38077-9_113

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  • DOI: https://doi.org/10.1007/978-3-030-38077-9_113

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38076-2

  • Online ISBN: 978-3-030-38077-9

  • eBook Packages: EngineeringEngineering (R0)

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