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Semi-empirical model for predicting LAB and HAB formation in bearing steels

Semi-empirical model for predicting LAB and HAB formation in bearing steels
Semi-empirical model for predicting LAB and HAB formation in bearing steels
The formation of white etching bands (WEBs), including both low- (LAB) and high- (HAB) angle bands, in the subsurface of steel bearings due to rolling contact fatigue (RCF) has been investigated over decades to understand their characteristics and predict their formation during operation. A few studies recently have modelled the development of LABs theoretically based on thickening of lenticular carbides adjacent to the band controlled by dislocation-assisted carbon migration. To date, no study has been reported to predict the formation of HABs. Based on the percentage of white etched region formed in the subsurface of the bearings, this study presents a semi-empirical model that predicts the formation of both LABs and HABs in steel bearings for different contact pressures. The LAB semi-empirical model is compared with a theoretical model from literature and experimental data. According to this, the new model more realistically predicts the initiation of LABs than the carbide thickening model. This is achieved by involving the formation of ferrite (cellular and elongated) shown as white areas under optical images. Literature data have been used to evaluate the LAB and HAB models. The growth pattern obtained in this study provides strong evidence of a diffusion-based mechanism leading to WEB formation.
0142-1123
Ellaithy, Mostafa
8d378e75-e155-44b9-b4da-a7ff11d774db
Wang, Ling
c50767b1-7474-4094-9b06-4fe64e9fe362
Harvey, Terence
3b94322b-18da-4de8-b1af-56d202677e04
Vierneusel, Bernd
1698bd4c-401b-48a6-9870-2c3f48d73894
Ellaithy, Mostafa
8d378e75-e155-44b9-b4da-a7ff11d774db
Wang, Ling
c50767b1-7474-4094-9b06-4fe64e9fe362
Harvey, Terence
3b94322b-18da-4de8-b1af-56d202677e04
Vierneusel, Bernd
1698bd4c-401b-48a6-9870-2c3f48d73894

Ellaithy, Mostafa, Wang, Ling, Harvey, Terence and Vierneusel, Bernd (2021) Semi-empirical model for predicting LAB and HAB formation in bearing steels. International Journal of Fatigue, 148 (7), [106230]. (doi:10.1016/j.ijfatigue.2021.106230).

Record type: Article

Abstract

The formation of white etching bands (WEBs), including both low- (LAB) and high- (HAB) angle bands, in the subsurface of steel bearings due to rolling contact fatigue (RCF) has been investigated over decades to understand their characteristics and predict their formation during operation. A few studies recently have modelled the development of LABs theoretically based on thickening of lenticular carbides adjacent to the band controlled by dislocation-assisted carbon migration. To date, no study has been reported to predict the formation of HABs. Based on the percentage of white etched region formed in the subsurface of the bearings, this study presents a semi-empirical model that predicts the formation of both LABs and HABs in steel bearings for different contact pressures. The LAB semi-empirical model is compared with a theoretical model from literature and experimental data. According to this, the new model more realistically predicts the initiation of LABs than the carbide thickening model. This is achieved by involving the formation of ferrite (cellular and elongated) shown as white areas under optical images. Literature data have been used to evaluate the LAB and HAB models. The growth pattern obtained in this study provides strong evidence of a diffusion-based mechanism leading to WEB formation.

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Accepted/In Press date: 7 March 2021
e-pub ahead of print date: 24 March 2021
Published date: 1 July 2021

Identifiers

Local EPrints ID: 447542
URI: http://eprints.soton.ac.uk/id/eprint/447542
ISSN: 0142-1123
PURE UUID: 7d356a8b-ce8d-4e78-9dae-61da3c2692bc
ORCID for Mostafa Ellaithy: ORCID iD orcid.org/0000-0002-0703-0435
ORCID for Ling Wang: ORCID iD orcid.org/0000-0002-2894-6784

Catalogue record

Date deposited: 15 Mar 2021 17:39
Last modified: 17 Mar 2024 06:24

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Contributors

Author: Mostafa Ellaithy ORCID iD
Author: Ling Wang ORCID iD
Author: Terence Harvey
Author: Bernd Vierneusel

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