Prediction of RCF and wear evolution of iron-ore locomotive wheels

Nia, Saeed Hossein; Casanueva, Carlos; Stichel, Sebastian

doi:10.1016/j.wear.2015.05.015

Cited by 33 publications

(16 citation statements)

References 16 publications

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“…As an example related to the wheel and rail damage, the energy dissipation per rolling distance for the outer and inner wheels of the leading axle of a locomotive on the iron ore line in Northern Sweden is shown in Figure 1. 6 As can be seen, the energy dissipation with traction increases on the inner wheel but decreases on the outer wheel.…”

Section: Passenger Vehicles and Locomotivesmentioning

confidence: 90%

“…17 Wear and RCF calculation has been blended within the context of dynamic simulation since the RSSB model 18 and in some later works, more precise modeling techniques are demonstrated. 6,19,20 A good overview of the different techniques of the damage calculation and their industrial implementation for the deterioration of the wheel surface is given in Enblom and Stichel. 21 The main conclusion is that the developed end-user applications only deal with a basic follow-up of certain parameters under specific operating conditions, and that it is not possible to use them as a tool in the vehicle design phase.…”

Section: Uniform Wear and Rcfmentioning

confidence: 99%

“…track design geometry and irregularities, rail profiles, friction conditions, vehicle speed, types and frequency of vehicles, or traction and braking. An extensive example of a load collective for the wheel damage calculation that includes most of the input parameters mentioned in Tables 1 and 2 can be found in Hossein Nia et al 6 A correct prediction of the damage in the wheelrail contact is extremely dependant on the quality of the data provided by the stakeholders. For instance, the wheel and rail contact position and geometry have a high influence on the uniform wheel wear, so ideally a variety of measured rail profiles should be used for a realistic prediction.…”

Section: Input Parametersmentioning

confidence: 99%

See 2 more Smart Citations

On integrated wheel and track damage prediction using vehicle–track dynamic simulations

Casanueva

Enblom

Stichel

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part F:

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The renewal costs for wheels and rails are a substantial part of the costs for rolling stock operators and infrastructure managers all over the world. The causes for reprofiling or grinding are, in most cases, related to the following: (1) wheel or rail profiles with unacceptable wear, (2) appearance of rolling contact fatigue cracks in the surface, and (3) wheel flats caused by locking wheels during braking. The first two causes are related to the dynamic behavior of the vehicletrack system, and can be predicted using multibody simulations. However, there are several limitations that restrain the usefulness of these prediction techniques, such as simulation time constraints, necessary simplifications, and lack of experimental data that lead to educated assumptions. In this paper, we take the end-user perspective in order to show whether the latest developments in wheel-rail damage prediction can be integrated in a simplified framework, and subsequently used by the different stakeholders for an improved management of the different assets involved in the operation of rail vehicles.

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Section: Passenger Vehicles and Locomotivesmentioning

confidence: 90%

Section: Uniform Wear and Rcfmentioning

confidence: 99%

Section: Input Parametersmentioning

confidence: 99%

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On integrated wheel and track damage prediction using vehicle–track dynamic simulations

Casanueva

Enblom

Stichel

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part F:

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“…Inspection intervals have also been optimized by considering reliability and availability components [10]. Moreover, mechanical engineering models have been put forward to estimate rolling contact fatigue (RCF) [18,19] and wear [20] of railway wheels, and in locomotive wheels [21]. Statistical models were also proposed using a parametric Bayesian approach [22], discussing data analysis techniques for samples under unequal operating conditions [23] and with the aim to assess reliability of railway wheelsets [24].…”

Section: State Of the Artmentioning

confidence: 99%

Assessing the potential cost savings of introducing the maintenance option of ‘Economic Tyre Turning’ in Great Britain railway wheelsets

Andrade

Stow

2017

Reliability Engineering & System Safety

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This paper assesses the potential cost savings of introducing a maintenance option known as 'Economic Tyre Turning' (ETT) in railway wheelset maintenance in Great Britain. It first develops a lifecycle cost model and puts forward a Monte Carlo simulation procedure to assess the life-cycle costs of different maintenance strategies, including ETT. This Monte Carlo simulation procedure samples from statistical degradation models that estimate the evolution of wear and damage trajectories of different wheelsets, and the maintenance impact of wheel turning in the loss of diameter in a more realistic manner by controlling random effects related to unit, vehicle and month of measurement. The main findings suggest that ETT may provide potential savings of around 0.8% up to 4.4% when compared to a simple wheelset renewal strategy, and between 2.0% and 4.7% cost savings when ETT is used in association with more complex strategies.

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“…Hossein et al [6] have published a paper which addresses the prediction of wear for distances longer than 40,000 km.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Wheel-Rail Profile Combinations in Terms of Accurate Wear Prediction

Doraci¹,

Hasanaj²

2017

RAD Conference Proceedings

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Prediction of RCF and wear evolution of iron-ore locomotive wheels

Cited by 33 publications

References 16 publications

On integrated wheel and track damage prediction using vehicle–track dynamic simulations

On integrated wheel and track damage prediction using vehicle–track dynamic simulations

Assessing the potential cost savings of introducing the maintenance option of ‘Economic Tyre Turning’ in Great Britain railway wheelsets

Optimization of Wheel-Rail Profile Combinations in Terms of Accurate Wear Prediction

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