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2020 | OriginalPaper | Chapter

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

Authors: Alexander Meierhofer, Christof Bernsteiner, Gabor Müller, Florian Semrad, Franz-Josef Weber, Martin Rosenberger, Klaus Six

Published in: Advances in Dynamics of Vehicles on Roads and Tracks

Publisher: Springer International Publishing

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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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Metadata
Title
Prediction of Maximum Torsional Wheel-Set Axle Vibrations Considering Non-linear Adhesion Characteristics
Authors
Alexander Meierhofer
Christof Bernsteiner
Gabor Müller
Florian Semrad
Franz-Josef Weber
Martin Rosenberger
Klaus Six
Copyright Year
2020
Book
Advances in Dynamics of Vehicles on Roads and Tracks

Print ISBN: 978-3-030-38076-2

Electronic ISBN: 978-3-030-38077-9

Copyright Year: 2020

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

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