Development of a wear prediction tool for steel railway wheels using three alternative wear functions

Pombo, João; Ambrósio, Jorge; Pereira, M.; Lewis, Roger; Dwyer-Joyce, R. S.; Ariaudo, Caterina; Kuka, Naim

doi:10.1016/j.wear.2010.10.072

Cited by 121 publications

(119 citation statements)

References 24 publications

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“…It consists of using the commercial multibody software VAMPIRE [18], which is used to study the dynamics of the railway vehicles, integrated with a purpose-built wear computation module that is used to predict the wear of railway steel wheels [6,8,10,19].…”

Section: Description Of the Softwarementioning

confidence: 99%

“…The wear computational module is a purpose-built code [6,8,10,19]. That is used to manage the pre-and postprocessing dynamic analysis data in order to compute the wheel profiles wear for a given railway system.…”

Section: Description Of the Softwarementioning

confidence: 99%

“…The equations governing the University of Sheffield wear function are defined in Table 1. The detailed description of the wear computation module is outside the scope of this text, the interested readers are referred to the works [6,8,10,19].…”

Section: Description Of the Softwarementioning

confidence: 99%

“…In the literature, several approaches to estimate wheel and rail wear using dynamic simulations are available [1][2][3][4][5][6][7][8][9][10][11][12]. However, less emphasis has been placed on the consequences of that wear on the performance of the railway vehicles.…”

Section: Introductionmentioning

confidence: 99%

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Application of a Computational Tool to Study the Influence of Worn Wheels on Railway Vehicle Dynamics

Pombo¹

2012

JSEA

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The search for fast, reliable and cost effective means of transport that presents better energy efficiency and less impact on the environment has resulted in renewed interest and rapid development in railway technology. To improve its efficiency and competitiveness, modern trains are required to travel faster, with high levels of safety and comfort and with reduced Life Cycle Costs (LCC). These increasing demands for vehicle requirements imposed by railway operators and infrastructure companies include maintaining the top operational speeds of trainsets during their life cycle, having low LCC and being track friendly. This is a key issue in vehicle design and in train operation since it has a significant impact on the safety and comfort of railway systems and on the maintenance costs of vehicles and infrastructures. The purpose of this work is to analyze how the wear progression on the wheelsets affects the dynamic behavior of railways vehicles and its interaction with the track. For this purpose a vehicle, assembled with new and worn wheels, is studied in realistic operation scenarios. The influence of the wheel profile wear on the vehicle dynamic response is assessed here based on several indicators used by the railway industry. The running stability of the railway vehicles is also emphasized in this study.

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Section: Description Of the Softwarementioning

confidence: 99%

Section: Description Of the Softwarementioning

confidence: 99%

Section: Description Of the Softwarementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of a Computational Tool to Study the Influence of Worn Wheels on Railway Vehicle Dynamics

Pombo¹

2012

JSEA

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“…In the global approach, often used by commercial multibody software to reduce the computational load in spite of the model accuracy [1,2], the wear is evaluated without taking into account the contact patch. The local approaches [3][4][5], instead, subdivides the contact patch into adhesion and creep area, leading to more accurate results but increasing the computational time; some works in which the differences between global and local wear approaches are carefully investigated can be found in the literature [17]. However, a substantial lack is present in the literature concerning wear models (both global and even more local) specially developed for complex railway net applications.…”

Section: Introductionmentioning

confidence: 99%

Development of a model for the simultaneous analysis of wheel and rail wear in railway systems

et al. 2013

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The prediction of wheel and rail wear is a fundamental issue in the railway field, both in terms of vehicle stability and in terms of economic costs (planning of maintenance interventions). In particular the need of an accurate wear model arises from the interest of Trenitalia S.p.A. and Rete Ferroviara Italiana in designing new wheel and rail profiles and new bogie architectures optimized from the wear viewpoint with the aim of improving the wear and stability behavior of the standard ORE S1002 wheel profile matched with the UIC60 rail profile canted at 1/20 rad (which represents the wheel-rail combination adopted by the Italian railway line). In this work the authors present a wear model specifically developed for the evaluation of the wheel and rail profile evolution, the layout of which is made up of two mutually interactive but separate units: a vehicle model for the dynamical analysis and a model for the wear evaluation. Subsequently the new model has been compared with the wear evaluation procedure implemented in Simpack, a widely tested and validated multibody software for the analysis of the railway vehicle dynamics; the comparison aims both to evaluate the model performance (in terms of accuracy and efficiency) and to further validate the wear model (just tested, as regards the wheel wear prediction, in previous works related to the critical Aosta-Pre Saint Didier line).The comparison has been carried out considering a benchmark train composed by a locomotive (E.464) and a passenger vehicle (Vivalto) provided by Trenitalia while the simulations have been performed on a mean Italian railway line (obtained by means of a sta-

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Statistical Modelling of Wear and Damage Trajectories of Railway Wheelsets

Andrade

Stow

2016

Quality & Reliability Eng

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This paper discusses the use of Linear Mixed Models (LMM) and Generalized Linear Mixed Models (GLMM) to predict the wear and damage trajectories of railway wheelsets for a fleet of modern multiple unit trains. The wear trajectory is described by the evolution of the wheel flange thickness, the flange height and the tread diameter; whereas the damage trajectory is assessed through the probabilities of various types of wheel tread damage such as rolling contact fatigue, wheel flats and cavities occurring. Different model specifications are compared based on an information criterion.

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Development of a wear prediction tool for steel railway wheels using three alternative wear functions

Cited by 121 publications

References 24 publications

Application of a Computational Tool to Study the Influence of Worn Wheels on Railway Vehicle Dynamics

Application of a Computational Tool to Study the Influence of Worn Wheels on Railway Vehicle Dynamics

Development of a model for the simultaneous analysis of wheel and rail wear in railway systems

Statistical Modelling of Wear and Damage Trajectories of Railway Wheelsets

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