Wheel–rail low adhesion issues and its effect on wheel–rail material damage at high speed under different interfacial contaminations

Wu, Bing; An, Boyang; Wen, Zefeng; Wang, Wenjian; Wu, Tao

doi:10.1177/0954406219842285

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…Wang et al (2013) used a JD-1 rolling contact machine to investigate the adhesion characteristics under various interfacial contaminations. Wu et al (2019) carried out experiments under the water/oil mixture contamination, and used the experiment results to verify their numerical methodology. Recently, the full-scale testing was carried out by Chang et al (2019).…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation on wheel-rail adhesion under water-lubricated condition during braking

Yang

Xiao

et al. 2023

ILT

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Purpose The purpose of this study is to develop a 3D wheel-rail adhesion model under wet condition, which considers the generated surface roughness topography and the traditional braking procedure for high-speed trains. Design/methodology/approach Wheel-rail adhesion has an important effect on the braking ability of railway vehicle. Based on the deterministic mixed lubrication approach, the model was solved to get the adhesion characteristics of the train during braking. The elastic deformation was calculated with the discrete convolution and fast Fourier transform method. The simulation results of adhesion coefficient were compared with the experimental values. The wheel-rail adhesion characteristics of train braking at several different initial speeds were investigated. The effects of the time-step length and roughness orientation on the contact load ratio were also discussed. Findings The results show that the adhesion coefficient of the numerical model is in good agreement with the experimental results. At the instant of braking, the adhesion coefficient drops to a lower adhesion level, the value of adhesion coefficient is lower than 0.06, especially at a higher speed (200, 300 and 400 km/h). Originality/value It can provide a better understanding of the low adhesion phenomenon of train braking under wet condition. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2023-0040/

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Section: Introductionmentioning

confidence: 99%

Numerical investigation on wheel-rail adhesion under water-lubricated condition during braking

Yang

Xiao

et al. 2023

ILT

Self Cite

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“…(2) There is a local area where the wheel-rail friction becomes low. When there are foreign objects such as grease and leaves on the track, the wheel-rail adhesion is reduced, resulting in complete sliding between the wheel and rail [16][17][18][19]. In order to address the issue of wheel flats, the railway department has implemented various preventive measures, such as installing advanced anti-sliding systems on passenger trains.…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review

Feng

et al. 2023

Sensors

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Wheel flats are amongst the most common local surface defect in railway wheels, which can result in repetitive high wheel–rail contact forces and thus lead to rapid deterioration and possible failure of wheels and rails if not detected at an early stage. The timely and accurate detection of wheel flats is of great significance to ensure the safety of train operation and reduce maintenance costs. In recent years, with the increase of train speed and load capacity, wheel flat detection is facing greater challenges. This paper focuses on the review of wheel flat detection techniques and flat signal processing methods based on wayside deployment in recent years. Commonly used wheel flat detection methods, including sound-based methods, image-based methods, and stress-based methods are introduced and summarized. The advantages and disadvantages of these methods are discussed and concluded. In addition, the flat signal processing methods corresponding to different wheel flat detection techniques are also summarized and discussed. According to the review, we believe that the development direction of the wheel flat detection system is gradually moving towards device simplification, multi-sensor fusion, high algorithm accuracy, and operational intelligence. With continuous development of machine learning algorithms and constant perfection of railway databases, wheel flat detection based on machine learning algorithms will be the development trend in the future.

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“…Wang et al studied the adhesion performance of wheel/rail under dry and water conditions by using the JD-1 wheel/rail simulation facility. Wu et al (2019) used a high-speed wheel/rail rolling contact test rig trying to understand the wheel/rail low adhesion mechanism. Zhou et al (2020) considered the effect of large sliding conditions on the adhesion characteristics under water conditions.…”

Section: Introductionmentioning

confidence: 99%

“…It is very important to study the wheel/rail adhesion behavior during train running to improve the running speed and traction capacity of locomotive. In the study of railway transportation, the commonly accepted definition of wheel/rail adhesion is the ratio between the traction force and normal force (Wu et al , 2019). Generally, when in dry state, the adhesion coefficient does not change much, while the adhesion coefficient of wheel/rail would decrease significantly under water conditions (Wang et al , 2011), especially at high speeds.…”

Section: Introductionmentioning

confidence: 99%

Study on the adhesion behavior of wheel/rail under water conditions by using mixed lubrication model

Wang

Peng

Zhao

et al. 2022

ILT

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Purpose The purpose of this paper is to propose a wheel/rail mixed lubrication model to study the water lubrication behavior of wheel/rail contact interface. Design/methodology/approach The numerical simulation method is applied in this paper. A deterministic mixed lubrication model considering surface roughness and transient state is established. The quasi-system numerical and finite difference method are used for numerical solution. The model is verified by comparing with the experimental data in the literature under the same conditions. Findings Under wet conditions, the change of train speed will change the lubrication state of the wheel/rail contact interface. With an increasing speed, the average film thickness and the film thickness ratio increase, while the adhesion coefficient, the contact load ratio and the contact area ratio decrease. When the creep ratio increases from 0% to 0.5%, the wheel/rail adhesion coefficient and subsurface stress increase sharply. With the increase of axle load, the average film thickness decreases and the adhesion coefficient increases. Practical implications This paper aims to improve the mixed lubrication theory by analyzing the characteristics of wheel/rail friction and lubrication, so as to provide some guidance and theory for train driving behavior. Originality/value Using the deterministic model, the lubrication state of the wheel/rail contact interface affected by various external factors and the adhesion behavior of wheel/rail progressive process from boundary lubrication to mixed lubrication are studied.

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Wheel–rail low adhesion issues and its effect on wheel–rail material damage at high speed under different interfacial contaminations

Cited by 7 publications

References 34 publications

Numerical investigation on wheel-rail adhesion under water-lubricated condition during braking

Numerical investigation on wheel-rail adhesion under water-lubricated condition during braking

Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review

Study on the adhesion behavior of wheel/rail under water conditions by using mixed lubrication model

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