A Coupled Euler-Lagrange Model for More Realistic Simulation of Debris Denting in Rolling Element Bearings

Bonetto, Alexis; Nélias, Daniel; Chaise, Thibaut; Zamponi, Laurent

doi:10.1080/10402004.2019.1617915

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…The roughness of the surfaces in lubricated contact is studied in turn in order to deduce the disturbance of the lubricating film thickness [14][15][16][17][18], and also in this axis [19] reports new updated film parameter, which takes into account the elastohydrodynamic lubrication effects induced by surface irregularities at the microscopic scale (micro-EHL). The consequences of particle entrapment have been analysed theoretically and experimentally in numerous works [20][21][22][23], and extensive research has been carried out on surface indentation, wear, scratching, frictional heating, acoustic emission (noise), scratching and overall reduction in the remaining life of contacts.…”

Section: Introductionmentioning

confidence: 99%

Application of artificial neural networks for the prediction of the service conditions of an elastohydrodynamic EHL contact in the presence of solid pollutant

Mattallah,

Kelaiaia,

Louahem M'Sabah

et al. 2024

Diagnostyka

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Lubricated mechanical mechanisms operate under service conditions influenced by several environmental parameters, and their lifetimes may be threatened due to inappropriate use or by the presence of solid contaminants. The objective of this work is to study the effect of three operating parameters, namely: rotational speed 𝑉, load 𝑄 and kinematic viscosity 𝜈 in the presence of three sizes of solid contaminants 𝑇, on the degradation of an EHL contact, to predict the ranges of effects that may lead to the damage of the contacting surfaces. In our investigation, an experimental design of nine trials is used to combine four factors with three levels each to accomplish the experimental investigation. Artificial neural network regression and the desirability function were used for the interpretation and modelling of the responses, which are: wear 𝑊, arithmetic mean height 𝑅𝑎, total profile height 𝑅𝑡 and maximum profile height 𝑅𝑧. From these methods we observed that the sand grain sizes have a significant impact on the wear 𝑊 and the roughness 𝑅𝑎, but that viscosity has the primary influence on the variation of the roughnesses 𝑅𝑡 and 𝑅𝑧. We also found that the quality of the predicted models is very good, with overall determination coefficients of 𝑅 2 learning = 0.9985 and 𝑅 2 validation = 0.9996. Several levels of degradation depending on the operating conditions are predicted using the desirability function.

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Section: Introductionmentioning

confidence: 99%

Application of artificial neural networks for the prediction of the service conditions of an elastohydrodynamic EHL contact in the presence of solid pollutant

Mattallah,

Kelaiaia,

Louahem M'Sabah

et al. 2024

Diagnostyka

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New numerical resolution of the elastic quarter-space, eighth-space and finite-length-space contact problems

Ahyee,

Nelias,

Chaise

et al. 2024

International Journal of Solids and Structures

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A Coupled Eulerian–Lagrangian Model for Sliding Inception of Elastic–Plastic Spherical Contact

Zhang

Etsion

2020

Journal of Tribology

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Currently existing finite element (FE) Lagrangian models of elastic-plastic spherical contact are costly in terms of computing time to reach vanishing tangential stiffness at sliding inception. A coupled Eulerian-Lagrangian (CEL) model with explicit dynamic analysis is proposed to resolve this problem. The CEL model also avoids convergence problem caused by excessive distortion of elements in Lagrangian models. Static friction coefficient at sliding inception is investigated and compared with available experimental results. It is found that the proposed new CEL model is more efficient and accurate compared to previously published results of Lagrangian models.

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A Coupled Euler-Lagrange Model for More Realistic Simulation of Debris Denting in Rolling Element Bearings

Cited by 3 publications

References 32 publications

Application of artificial neural networks for the prediction of the service conditions of an elastohydrodynamic EHL contact in the presence of solid pollutant

Application of artificial neural networks for the prediction of the service conditions of an elastohydrodynamic EHL contact in the presence of solid pollutant

New numerical resolution of the elastic quarter-space, eighth-space and finite-length-space contact problems

A Coupled Eulerian–Lagrangian Model for Sliding Inception of Elastic–Plastic Spherical Contact

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