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A Multiscale Overview of Modelling Rolling Cyclic Fatigue in Bearing Elements
Muhammad U Abdullah1, Zulfiqar A Khan2
1Department of Mechanical Engineering, University of Bristol, University Walk, Bristol BS8 1TR, UK.
Materials (Basel, Switzerland)
|September 9, 2022
Summary
This study reviews multiscale modeling of rolling cyclic fatigue (RCF) in bearing steels. It examines microstructural changes and plastic deformation to improve bearing component durability and reliability.
Area of Science:
- Materials Science
- Mechanical Engineering
- Tribology
Background:
- Bearing components undergo rolling cyclic fatigue (RCF), causing subsurface plasticity and microstructural decay.
- Microstructural evolution in bearing steel is complex due to composition, inclusions, residual stresses, and work hardening/softening.
Purpose of the Study:
- To present a multiscale modeling overview of RCF, focusing on plastic deformation and microstructural alterations.
- To review existing models for predicting microstructural changes and material hardening in bearing steels.
- To provide an academic critique enhancing understanding of elastoplastic response, damage evolution, and microstructural formation.
Main Methods:
- Literature review of multiscale modeling approaches for RCF in bearing steels.
- Investigation of models predicting microstructural alterations and material hardening.
- Analysis of elastoplastic response, damage evolution, and microstructural mechanics.
Main Results:
- Identified complexities in modeling bearing steel due to evolving microstructures and material properties.
- Highlighted the need for multidisciplinary approaches across various length scales.
- Provided a state-of-the-art review and academic critique of current modeling techniques.
Conclusions:
- A comprehensive understanding of bearing steel's micromechanical and metallurgical response requires a multidisciplinary, multiscale approach.
- This review contributes to novel design methodologies and improved product specifications for enhanced bearing durability and reliability.
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