Wear modelling in rail–wheel contact

Ramalho, A.

doi:10.1016/j.wear.2015.01.067

Cited by 34 publications

(25 citation statements)

References 16 publications

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“…In this study, the rotational speed of the wheel disc was 400 r/min and the number of cycles was 1.92 × 10 5 . The contact stress σ max between the wheel and rail discs was set as 1000 MPa, which is in line with the typical contact pressure values under real-world wheel/rail contact [27]. The creep ratio λ between the wheel and rail discs was adopted as 10%.…”

Section: Methodsmentioning

confidence: 99%

Experimental Investigation on the Wear and Damage Characteristics of Machined Wheel/Rail Materials under Dry Rolling-Sliding Condition

Liu

Quan

Wan

et al. 2020

Metals

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To guarantee the smooth operation of trains, rail grinding and wheel turning are necessary practices to remove surface defects. Surface integrity of machined wheel/rail materials is significant to affect their tribological performance. In this paper, firstly, the wheel specimens were turned by a CNC lathe and the rail specimens were ground by a cylindrical grinding machine with various machining parameters. Then, the wear and damage behavior of the machined wheel/rail discs was systematically investigated via a twin-disc wear testing apparatus under dry rolling-sliding condition. The experimental results show that the surface hardness of rail discs after machining is slightly higher than that of wheel discs, while the surface roughness and plastic deformation layer of wheel discs are much larger than those of rail discs. The surface hardness increase degree of rail discs and their thickness of plastic deformation layer are greater than those of wheel discs after the rolling-sliding test. The wear loss of wheel discs is much larger than that of rail discs. Surface roughness, hardness and plastic deformation layer of wheel/rail discs after machining exert a comprehensive effect on the wear behavior, and friction pair with appropriate original surface hardness and roughness generates the smallest amount of wear loss.

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Section: Methodsmentioning

confidence: 99%

Experimental Investigation on the Wear and Damage Characteristics of Machined Wheel/Rail Materials under Dry Rolling-Sliding Condition

Liu

Quan

Wan

et al. 2020

Metals

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“…The prediction of wheel and rail wear allows for proper planning of maintenance interventions; as a consequence, it can reduce its costs, improve ride comfort, and even contribute to the prevention of derailment [17,19].…”

Section: The Wear Modelmentioning

confidence: 99%

“…The factors that determine how competitive the railways are depend on transport time, costs, and comfort. They, in turn, depend directly on the technical condition of railroad wheels and rails [17,24].…”

Section: Introductionmentioning

confidence: 99%

Assessment of durability and reliability of ET41 series locomotive wheels based on laboratory tests

Witaszek¹

2020

Diagnostyka

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“…This is due to the fact that the wear rate of wheels is higher. Hence, extensive descriptions on the wheel wear prediction procedure can be found in literature [1][2][3][4][5]. Enblom and Berg [6] proposed a procedure to predict rail wear similar to that of wheel wear.…”

Section: Introductionmentioning

confidence: 99%

Rail wear and remaining life prediction using meta-models

Meghoe

Loendersloot

Tinga

2019

International Journal of Rail Transportation

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The study presented in this paper proposes a method to estimate the Remaining Useful Life (RUL) of railway tracks determined by wear and taking into account various track geometry and usage profile parameters. The relation between these parameters and rail wear is established by means of meta-models derived from physical models. These models are obtained with regression analysis where the best fit is found from a relatively large set of numerical experiments for various scenarios. The specific parameter settings for these scenarios are obtained by using the Latin Hypercube Sampling (LHS) method. Furthermore, for the rail profile, which is one of the input parameters for the meta-model, it is shown that the evolution due to wear in moderate curves can be characterized by only one parameter. The findings in this work including are valuable for Infrastructure Managers (IMs) and can easily be implemented in maintenance decision support tools.

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Wear modelling in rail–wheel contact

Cited by 34 publications

References 16 publications

Experimental Investigation on the Wear and Damage Characteristics of Machined Wheel/Rail Materials under Dry Rolling-Sliding Condition

Experimental Investigation on the Wear and Damage Characteristics of Machined Wheel/Rail Materials under Dry Rolling-Sliding Condition

Assessment of durability and reliability of ET41 series locomotive wheels based on laboratory tests

Rail wear and remaining life prediction using meta-models

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