Prediction of Maximum Torsional Wheel-Set Axle Vibrations Considering Non-linear Adhesion Characteristics
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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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030380762
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Supplemental Notes:
- © Springer Nature Switzerland AG 2020.
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Corporate Authors:
Springer International Publishing
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Authors:
- Meierhofer, Alexander
- Bernsteiner, Christof
- Müller, Gabor
- Semrad, Florian
- Weber, Franz-Josef
- Rosenberger, Martin
- Six, Klaus
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Conference:
- 26th Symposium of the International Association of Vehicle System Dynamics (IAVSD 2019)
- Location: Gothenburg , Sweden
- Date: 2019-8-12 to 2019-8-16
- Publication Date: 2020-2
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 970-976
- Monograph Title: Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden
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Serial:
- Lecture Notes in Mechanical Engineering
- Publisher: Springer International Publishing
- ISSN: 2195-4356
- EISSN: 2195-4364
- Serial URL: http://link.springer.com/bookseries/11236
Subject/Index Terms
- TRT Terms: Power trains; Predictive models; Railroad wheelsets; Torsion; Vibration
- Subject Areas: Maintenance and Preservation; Railroads; Vehicles and Equipment;
Filing Info
- Accession Number: 01903473
- Record Type: Publication
- ISBN: 9783030380762
- Files: TRIS
- Created Date: Dec 27 2023 11:25AM