Fatigue and wear behavior of pearlitic and bainitic microstructures with the same chemical composition and hardness using twin-disc tests

Miranda, Rubens S.; Rezende, Andrei Bavaresco; Fonseca, S.T.; Fernandes, F.M.; Sinatora, Amilton; Mei, Paulo Roberto

doi:10.1016/j.wear.2022.204253

Cited by 15 publications

(3 citation statements)

References 68 publications

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“…Wear is affected by several phenomena, such as shear stress at the contact [35,36], wheel material (hardness and microstructure) [10,[37][38][39][40][41][42][43][44][45][46], lubricants and debris [47][48][49], temperature [50][51][52][53][54], polygonization [55][56][57][58][59], and surface treatments [60][61][62][63][64]. In actual wheels, polygonization is caused by wheel-rail coupled vibration, and material loss is a result of the wheel-rail coupled vibration.…”

Section: Introductionmentioning

confidence: 99%

Examining Wear Mechanisms in Railway Wheel Steels: Experimental Insights and Predictive Mapping

Zani,

Mazzù,

Solazzi

et al. 2024

Lubricants

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Railway systems play a pivotal role in modern transportation networks, contributing to both efficiency and environmental sustainability. This study investigated the multifaceted aspects of wear phenomena in railway engineering, focusing on their significant implications for environmental costs and operational efficiency. Experimental trials were conducted using a high-performance bi-disc apparatus, evaluating a range of materials, contact pressures, and lubrication conditions. Shakedown maps were employed to assess ratcheting behaviour, while the wear rate was analysed as a function of the fatigue index (FI). The results reveal the intricate interplay of contact pressure, slip ratio, material properties, and lubrication in determining wear and ratcheting behaviour. Oxidative and mild wear mechanisms were identified, and wear debris composition and morphology were characterised. The outcomes from this research clarify the pivotal role that wear processes play within railway systems and the far-reaching environmental repercussions they entail. This exploration contributes to the ongoing optimisation of railway operations, offering valuable insights aimed at mitigating unavoidable pollution sources and strengthening sustainability efforts. By delving into the intricate dynamics of wear phenomena within wheel–rail material, this research paves the way for innovative solutions that not only enhance operational efficiency but also minimise the ecological footprint of railway transportation.

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Section: Introductionmentioning

confidence: 99%

Examining Wear Mechanisms in Railway Wheel Steels: Experimental Insights and Predictive Mapping

Zani,

Mazzù,

Solazzi

et al. 2024

Lubricants

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“…Knowledge of the formation patterns of the structural-phase states and properties of pearlite steel during plastic deformation is necessary to control the process of the deformation behaviour. The importance of the information in this field is determined by the depth of fundamental problems in physical materials science, on the one hand, and the practical significance of the problem, on the other hand, since the rails are made of pearlitic steel [8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Strengthening Mechanisms of Rail Steel under Compression

Ivanov,

Porfiriev,

Gromov

et al. 2023

Metals

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The evolution of the structure–phase states and the dislocation substructure of rail steel under uniaxial compression to the degree of 50% was studied by transmission electron microscopy. The obtained data formed the basis for a quantitative analysis of the mechanisms of rail steel strengthening at degrees of deformation by compressions of 15, 30, and 50%. Contributions to the strengthening caused by the friction of the matrix lattice, dislocation substructure, presence of carbide particles, internal stress fields, solid solution and substructural strengthening, and pearlite component of the steel structure were estimated. Using the adaptivity principle, which assumes the independent action of each of the strengthening mechanisms, the dependence of the rail steel strength on the degree of plastic deformation by compression was estimated. A comparative analysis of the stress–strain curves σ(ε) obtained experimentally and calculated theoretically was performed.

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“…However, rail transport operation is subject to wear, especially in the vehicle and rail contact. Miranda et al [3] emphasizes the relationship between the efficient management of such contact and lowering maintenance costs of rolling and track components. Thus, modelling and predicting the wear mechanisms present in this system is crucial to improve railway operation efficiency.…”

Section: Introductionmentioning

confidence: 99%

Computer Simulation to Predict the Sliding Wear of Pearlitic Rails in Contact Between Cast and Forged Railway Wheels

SILVA

CORRÊA

Camporez

et al. 2022

WIT Transactions on the Built Environment

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This work aims to implement and evaluate the effectiveness of the semi-analytical computational method global incremental wear model (GIWM) in predicting the sliding wear of rails in contact with the flange of railway wheels during curves, which is a parameter of great importance for the efficiency of railway operation. The method validation was performed by comparing the wear depth calculated using the GIWM algorithm to the experimental results published in previous work. The data was obtained in dry (relative humidity: 55% ± 10%) pin-on-disc tests carried out on a universal PLINT TE67 tribometer under a normal load of 24.6 N, representing 1.5 GPa of contact pressure. The specimens, hemispherical pins, were extracted from a pearlitic steel rail and the discs were extracted from two different, forged and cast, Class C railway wheels. The tangential sliding speeds were 0.1 m/s and 0.9 m/s, the latter being the most representative according to the literature. The wear model was based on Archard's law for sliding wear and the algorithm was implemented in Python. The results showed good agreement of the wear depth values between the computational and experimental methods for the cast wheel material under higher sliding speed, partial agreement for both wheel materials at lower speed and inconsistency for the forged wheel material under higher sliding speed. Furthermore, the algorithm is computationally efficient, presenting simulation time up to 180 times less than the finite element methods reported in the literature. Therefore, it was concluded that the GIWM method has potential for application in the freight railway sector, which uses cast wheels extensively, to guide technical areas regarding the wear behavior of rails under sliding contact during curves.

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Fatigue and wear behavior of pearlitic and bainitic microstructures with the same chemical composition and hardness using twin-disc tests

Cited by 15 publications

References 68 publications

Examining Wear Mechanisms in Railway Wheel Steels: Experimental Insights and Predictive Mapping

Examining Wear Mechanisms in Railway Wheel Steels: Experimental Insights and Predictive Mapping

Strengthening Mechanisms of Rail Steel under Compression

Computer Simulation to Predict the Sliding Wear of Pearlitic Rails in Contact Between Cast and Forged Railway Wheels

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