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Friction 2019, 7(6): 537-550 https://doi.org/10.1007/s40544-018-0230-x
Research Article | Open Access | Issue | Published: 06 November 2018

Prediction of electrical contact endurance subject to micro-slip wear using friction energy dissipation approach

Show Author's Information Xiangjun JIANG1,2,3( ),  Fengqun PAN1,  Guoqiang SHAO2,  Jin HUANG1,  Jun HONG2,  Aicheng ZHOU4
Key Laboratory of Electronic Equipment Structural Design, Xidian University, Xi'an 710071, China
State Key Laboratory for Manufacturing System, Xi’an Jiaotong University, Xi'an 710049, China
State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, China
Guilin University of Aerospace Technology, Guilin 541004, China
Keywords:
finite element analysis, electrical connector endurance, fretting wear, friction energy dissipation
Cite this article:
JIANG X, PAN F, SHAO G, et al. Prediction of electrical contact endurance subject to micro-slip wear using friction energy dissipation approach. Friction, 2019, 7(6): 537-550. https://doi.org/10.1007/s40544-018-0230-x
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Abstract Full text About this article

Fretting wear is a common cause of failure of an electrical contact (EC). In this study, we analyzed in detail the failure of EC induced especially by sliding using the representative electrical terminals. Furthermore, combining the friction energy dissipation theory, we proposed a prediction model to evaluate the electrical connector endurance (ECE) based on the contact stress and geometrical changes during the wear process obtained from a numerical model. The study helps establish that the friction energy dissipation theory is a powerful tool to analyze a contact failure due to wear. The proposed model proves to be effective in predicting the ECE for all considered cases such as micro-slip amplitude, contact force, overturning angle, superficial layer thickness, and friction/wear coefficients.


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About this article

Prediction of electrical contact endurance subject to micro-slip wear using friction energy dissipation approach

Show Author's information Xiangjun JIANG1,2,3( ), Fengqun PAN1, Guoqiang SHAO2, Jin HUANG1, Jun HONG2, Aicheng ZHOU4
Key Laboratory of Electronic Equipment Structural Design, Xidian University, Xi'an 710071, China
State Key Laboratory for Manufacturing System, Xi’an Jiaotong University, Xi'an 710049, China
State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, China
Guilin University of Aerospace Technology, Guilin 541004, China

Abstract

Fretting wear is a common cause of failure of an electrical contact (EC). In this study, we analyzed in detail the failure of EC induced especially by sliding using the representative electrical terminals. Furthermore, combining the friction energy dissipation theory, we proposed a prediction model to evaluate the electrical connector endurance (ECE) based on the contact stress and geometrical changes during the wear process obtained from a numerical model. The study helps establish that the friction energy dissipation theory is a powerful tool to analyze a contact failure due to wear. The proposed model proves to be effective in predicting the ECE for all considered cases such as micro-slip amplitude, contact force, overturning angle, superficial layer thickness, and friction/wear coefficients.

Keywords: finite element analysis, electrical connector endurance, fretting wear, friction energy dissipation

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Publication history
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Acknowledgements
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Publication history

Received: 12 December 2017
Revised: 05 February 2018
Accepted: 06 July 2018
Published: 06 November 2018
Issue date: December 2019

Copyright

© The author(s) 2018

Acknowledgements

We would like to thank for the financial support of this work by the National Natural Science Foundation of China (NSFC) under Grant Numbers 51775406 and 51405371, Open Research Fund of State Key Laboratory of Structural Analysis for Industrial Equipment (Grant No. GZ1612), 111 Project B14042, the Fundamental Research Funds for the Central Universities (Grant No. JB180412), Natural Science Foundation of Shanxi Province of China (Grant No. 2017JM5035), and Natural Science Foundation of Guangxi Province of China (Grant No. 2016GXNSFBA380230).

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