Multiscale modeling and simulation of rolling contact fatigue

Mir Ali Ghaffari; Yan Zhang; Shaoping Xiao

doi:10.1016/j.ijfatigue.2017.11.005

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Multiscale modeling and simulation of rolling contact fatigue

Journal article

Peer reviewed

Multiscale modeling and simulation of rolling contact fatigue

Mir Ali Ghaffari, Yan Zhang and Shaoping Xiao

International journal of fatigue, Vol.108, pp.9-17

03/2018

DOI: 10.1016/j.ijfatigue.2017.11.005

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Abstract

•A new multiscale framework is proposed for fatigue prediction.•Molecular dynamics simulation of lubricants is conducted at the nano scale.•The friction coefficient is passed from the molecular model to the continuum model. A hierarchical multiscale method is proposed in this paper to study the rolling contact fatigue with the consideration of lubricant effects. This multiscale model consists of a molecular model of lubricant and a continuum model of rolling contact components. At the nanoscale, molecular dynamics is employed to model the lubricant and to calculate the friction coefficient at the rolling contact surface. At the macroscale, the finite element method is used to conduct stress analysis of the rolling contact component so that the fatigue life can be predicted. The calculated friction coefficient is passed from the molecular model to the continuum model in the proposed multiscale model. The effect of fluctuating load on the rolling contact fatigue life is also studied in this paper. The objective of this paper is to develop a new multiscale framework which connects the nanoscale and the mascroscale. It shall be noted that a commonly used fatigue life model is employed in the continuum model.

Molecular Dynamics

Fatigue

Lubrication

Multiscale modeling

Rolling contact

Details

Title: Subtitle: Multiscale modeling and simulation of rolling contact fatigue
Creators: Mir Ali Ghaffari - General Motors Warren Tech Center, GM LLC, Warren, MI, USA
Yan Zhang - SMIT Center, School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
Shaoping Xiao - University of Iowa
Resource Type: Journal article
Publication Details: International journal of fatigue, Vol.108, pp.9-17
DOI: 10.1016/j.ijfatigue.2017.11.005
ISSN: 0142-1123
eISSN: 1879-3452
Publisher: Elsevier Ltd
Grant note: name: IOWA NSF EPSCoR, award: EPS-1101284; DOI: 10.13039/501100001809, name: NSFC, award: 11672171, 11572090
Language: English
Date published: 03/2018
Academic Unit: Iowa Technology Institute; Mechanical Engineering
Record Identifier: 9984196643902771

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