2012
DOI: 10.1080/00423114.2012.695021
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Development and validation of a wear model for the analysis of the wheel profile evolution in railway vehicles

Abstract: The numerical wheel wear prediction in railway applications is of great importance for different aspects, such as the safety against vehicle instability and derailment, the planning of wheelset maintenance interventions and the design of an optimal wheel profile from the wear point of view. For these reasons, this paper presents a complete model aimed at the evaluation of the wheel wear and the wheel profile evolution by means of dynamic simulations, organised in two parts which interact with each other mutual… Show more

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Cited by 37 publications
(43 citation statements)
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References 12 publications
(23 reference statements)
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“…More particularly, new theoretical and experimental relations among the adhesion coefficient f , the specific dissipated energy W sp and the limit adhesion levels f d , f r (degraded adhesion and adhesion recovery) will be introduced and analysed. This way the physical origin and meaning of the transition function λ(W sp ) will be better investigated, trying to connect it to more elementary physical and tribological phenomena (for example phenomena related to wear of the wheel and rail profiles on which the authors have recently worked; see for instance the references [9,25,53,54]). …”
Section: Conclusion and Further Developmentsmentioning
confidence: 99%
“…More particularly, new theoretical and experimental relations among the adhesion coefficient f , the specific dissipated energy W sp and the limit adhesion levels f d , f r (degraded adhesion and adhesion recovery) will be introduced and analysed. This way the physical origin and meaning of the transition function λ(W sp ) will be better investigated, trying to connect it to more elementary physical and tribological phenomena (for example phenomena related to wear of the wheel and rail profiles on which the authors have recently worked; see for instance the references [9,25,53,54]). …”
Section: Conclusion and Further Developmentsmentioning
confidence: 99%
“…The statistical approach is the same used for the model validation (only related to wheel wear) performed on the Aosta-Pre Saint Didier line [6,7] and it is obviously necessary because of the length and the complexity of the considered network that would make both its multibody modeling and the computational load impractical. The outputs of the vehicle model represent also the inputs of the wear model and are the global contact variables evaluated during all the N c dynamic simulations.…”
Section: Unifi Wear Model Layoutmentioning
confidence: 99%
“…The wear model has been experimentally validated in previous works on a benchmark critical scenario (Aln 501 Minuetto traveling on the Aosta-Pre Saint Didier Italian line) [6,7]. The complete Italian railway network data collection is still in progress but not yet completed because of the task complexity; other tests are scheduled on different particular tracks in order to further investigate advanced wear on the wheel (especially on the wheel tread) and on the rail.…”
Section: Introductionmentioning
confidence: 99%
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