Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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University of Southampton

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2023Mechanistic study of dark etching regions in bearing steels due to rolling contact fatigue16citations
  • 2022White etching bands formation mechanisms due to rolling contact fatigue24citations
  • 2021Semi-empirical model for predicting LAB and HAB formation in bearing steels7citations
  • 2020Re-investigation of dark etching regions and white etching bands in SAE 52100 bearing steel due to rolling contact fatigue26citations

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Wang, Ling
4 / 32 shared
Vierneusel, Bernd
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Harvey, Terence
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Schwedt, Alexander
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Mayer, Joachim
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Meyer, Joachim
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2020

Co-Authors (by relevance)

  • Wang, Ling
  • Vierneusel, Bernd
  • Harvey, Terence
  • Schwedt, Alexander
  • Mayer, Joachim
  • Meyer, Joachim
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article

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

  • Wang, Ling
  • Vierneusel, Bernd
  • Laithy, Mostafa El
  • Harvey, Terence
Abstract

The formation of white etching bands (WEBs), including both low- (LAB) and high- (HAB) angle bands, in thesubsurface 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 thedevelopment of LABs theoretically based on thickening of lenticular carbides adjacent to the band controlled bydislocation-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 asemi-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 carbidethickening model. This is achieved by involving the formation of ferrite (cellular and elongated) shown as whiteareas under optical images. Literature data have been used to evaluate the LAB and HAB models.The growthpattern obtained in this study provides strong evidence of a diffusion-based mechanism leading to WEB formation.

Topics
  • impedance spectroscopy
  • Carbon
  • carbide
  • steel
  • fatigue
  • etching