Archard model guided feature engineering improved support vector regression for rail wear analysis

Wang, Jinlong; Su, Yi; Subramaniam, Nellian Alagu; Pang, J.H.L.

doi:10.1016/j.engfailanal.2022.106248

Cited by 4 publications

(2 citation statements)

References 43 publications

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“…Regarding the wear of the clearance joint, many models of friction and wear have been proposed by scholars at home and abroad. Among them, the Archard model is one of the most widely applied models [6] , which correlates the wear depth with parameters such as sliding velocity, normal contact force, and material hardness, and the calculated results match the experiment results well. Zhuang [7] et al developed an ANFIS (Adaptive Network Based Fuzzy Inference System) based method for joint gap size prediction.…”

Section: Introductionmentioning

confidence: 91%

A method for predicting non-uniform wear of flapping driving mechanism joint considering uncertainty

Wang,

Jiang,

Jiang

et al. 2024

Preprint

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The driving mechanism of the flapping wing aircraft is a critical component which affects the aircraft performance directly. However, in practical flights, the joint of the mechanism was found with non-uniform wear, in some cases leading to the failure of the mechanism. As an essential connection component, the joint has a crucial effect on the transmitting loads and the motion rules, but the clearance of the joint is unavoidable, it will affect the performance of the mechanism. At the same time, the contact collision force triggers non-uniform wear, accelerates the functional degradation of the mechanism, and impacts the safety of the mechanism. Therefore, a method for predicting non-uniform wear of joint considering multi-source random variables is proposed in this paper, and the flapping driving mechanism is taken as an example for joint wear prediction, and the validity of the method is verified by comparing with the practical experimental joint wear. In addition, the wear reliability and sensitivity of the flapping driving mechanism considering uncertainty are also investigated, and it provides guidance for the lifetime prediction and optimization design of the flapping driving mechanism.

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Section: Introductionmentioning

confidence: 91%

A method for predicting non-uniform wear of flapping driving mechanism joint considering uncertainty

Wang,

Jiang,

Jiang

et al. 2024

Preprint

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“…For a practical engineering application, if there is a high demand for both friction reduction and wear resistance, a composite coating with comprehensive performance should be selected, such as the E3 sample in this paper. It is well known that the wear resistance of a material is proportional to its surface microhardness according to Archard's wear law [54][55][56]. Therefore, the enhancement of wear resistance of the composite coating should be mainly attributed to the improvement of the surface hardness.…”

Section: Tribological Performancesmentioning

confidence: 99%

Characterization and Wear Behaviors of Electrodeposited Ni-MoS2/SiC Composite Coating

Yan

Huo

et al. 2022

Coatings

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Among the preparation methods of functional coatings, the electrodeposition technique has attracted much attention due to its advantages of economy, high efficiency and good structural adaptability. The application of aluminum alloy materials is greatly limited due to their poor friction reduction and wear resistance. Therefore, to enhance the tribological behaviors of aluminum alloy materials, the Ni-MoS2, Ni-SiC and Ni-MoS2/SiC composite coatings were prepared on the 2218 aluminum alloy by an electrodeposition technique. The prepared composite coating samples exhibited a compact and dense microstructure, which was consistent with the result of their high microhardness. No obvious microcracks and defects appeared at the interfaces, indicating that the composite coating samples had good adhesion to the substrates and can effectively improve the frictional shear resistance. The results of wear experiment showed that the wear rate, friction coefficient and friction response time of all composite coating samples were lower than that of the substrate sample. However, the friction reduction and wear resistance of the same composite coating sample were not consistent. The friction coefficient of the Ni-MoS2 composite coating sample was the lowest, and the wear rate of the Ni-SiC composite coating sample was the lowest. According to the worn surface observations, the wear mechanism of composite coating samples was mainly characterized by the mild abrasive wear, flake spalling, tearing and pits caused by particle shedding, and the substrate sample showed a severe adhesive wear and abrasive wear.

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Research on the effect of rail cant on the dynamic performance and wear characteristics of subway vehicles

2023

Engineering Failure Analysis

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Archard model guided feature engineering improved support vector regression for rail wear analysis

Cited by 4 publications

References 43 publications

A method for predicting non-uniform wear of flapping driving mechanism joint considering uncertainty

A method for predicting non-uniform wear of flapping driving mechanism joint considering uncertainty

Characterization and Wear Behaviors of Electrodeposited Ni-MoS2/SiC Composite Coating

Research on the effect of rail cant on the dynamic performance and wear characteristics of subway vehicles

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