A mathematical model to predict railway wheel profile evolution due to wear

Braghin, Francesco; Lewis, Roger; Dwyer-Joyce, R. S.; Bruni, Stefano

doi:10.1016/j.wear.2006.03.025

Cited by 270 publications

(257 citation statements)

References 23 publications

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“…The UNIFI model uses an experimental relationship between the volume of removed material and the frictional work [8,15] to evaluate the distribution of removed material on wheel and rail due to wear (assuming dry contact conditions). The relationship is able to directly evaluate the specific volumes of removed material …”

Section: The Unifi Wear Evaluationmentioning

confidence: 99%

“…If on line experimental measurement cannot be carried out, the problem can be overcome carrying out experimental proofs on a scaled test rig [8], in some case also related to wet contact condition [9].…”

Section: Introductionmentioning

confidence: 99%

“…The 3D global contact model, developed by the authors in previous works [10,11], detects the wheel-rail contact points by means of an innovative algorithm based on suitable semi-analytic procedures and then, for each contact point, calculates the contact forces through Hertz's and Kalker's theory [12][13][14]. As regards the wear estimation, the model is based on a local contact model and on a wear model exploiting an experimental relationship for the calculation of the removed material [8,15]. The wear model, starting from the outputs of the local contact model (pressures and local creepages), calculates the total amount of removed material due to wear and its distribution along the wheel and rail profiles.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: The Unifi Wear Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2013

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“…In general, these wear laws use the normal and tangential forces and the relative slip velocities (creepages), as input to compute the wear. In the literature [5][6][7]19,[25][26][27][28][29][30][31][32][33][34][35] different methods for estimating wear of railway wheels can be found. These methods are based on real wear data acquired using different experimental techniques.…”

Section: Description Of the Softwarementioning

confidence: 99%

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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“…There is an additional factor which introduces particular complications to the process of obtaining an optimised profile: the inevitable wear that will ensue on the profile itself as a result of operation over the first few thousand kilometres. Wear is not only an adverse circumstance from the economic viewpoint (material is eliminated, and the wheels must be reprofiled or replaced periodically, and thus minimising wear in all cases is a constant concern); it also brings about changes in the shape of the profile originally obtained [3][4][5]. To a greater or lesser extent, this culminates in premature loss of the dynamic wheel-rail contact characteristics that the initial profile design phase attempted to establish.…”

Section: Introductionmentioning

confidence: 99%

Design of an optimised wheel profile for rail vehicles operating on two-track gauges

Santamaría

Herreros

Vadillo

et al. 2013

Vehicle System Dynamics

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Please cite this paper as: Santamaria, J., Herreros, J., Vadillo, E.G., Correa, N. Design of an optimised wheel profile for rail vehicles operating on two track gauges.Vehicle System Dynamics, Vol. 51, This paper sets out an optimum synthesis methodology for wheel profiles of railway vehicles in order to secure good dynamic behaviour with different track configurations. Specifically, the optimisation process has been applied to the case of rail wheelsets mounted on double gauge bogies, that move over two different gauges, which also have different types of rail: the Iberian gauge (1668 mm) and the UIC gauge (1435 mm). Optimisation is performed using Genetic Algorithms and traditional optimisation methods in a complementary way. The objective function used is based on an ideal equivalent conicity curve which ensures good stability on straight sections and also proper negotiation of curves. To this end the curve is constructed in such a way that it is constant with a low value for small lateral wheelset displacements (with regard to stability), and increases as the displacements increase (to facilitate negotiation of curved sections). Using this kind of ideal conicity curve also enables a wheel profile to be secured where the contact points have a larger distribution over the active contact areas, making wear more homogeneous and reducing stresses. The result is a wheel profile with a conicity that is closer to the target conicity for both gauges studied, producing better curve negotiation while maintaining good stability on straight sections of track. The paper shows the resultant wheel profile, the contact curves it produces, and a number of dynamic analyses demonstrating better dynamic behaviour of the synthesised wheel on curved sections with respect to the original wheel.

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A mathematical model to predict railway wheel profile evolution due to wear

Cited by 270 publications

References 23 publications

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

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

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

Design of an optimised wheel profile for rail vehicles operating on two-track gauges

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