4.7 Review

A review and perspectives on predicting the performance and durability of electrical contacts in automotive applications

Journal

ENGINEERING FAILURE ANALYSIS
Volume 121, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engfailanal.2020.105143

Keywords

Fretting; Modeling and simulation; Numerical modeling; Mechanics of materials; Electrical and electronic engineering; Modeling of degradation; LSR aging

Funding

  1. Ministry of Science and Higher Education via Implementation Doctorate Programme

Ask authors/readers for more resources

This review summarizes the recent progress in predicting the performance and long-term durability of electrical connectors in the automotive industry, including validation processes, research on fretting wear, and the development of mathematical models. It discusses approaches to numerical modeling and identifies promising research methods for durability prediction of an electrical connector.
This review reports the recent progress in predicting the performance and long-term durability of electrical connectors in the automotive industry. The review features a short introduction to electrical contacts as well as the validation process before product launch, followed by a study of fretting wear and the latest mathematical models describing this phenomenon. We discuss approaches to numerical modeling in the microand macro-scale, including the identification of the most promising research approaches to allow durability prediction of an electrical connector. Finally, we address some gaps in the research which require further investigation. This would allow further development of numerical models enabling the prediction of automotive connector durability with regard to its electrical and mechanical performance, and hence, the performance of the entire wire harness.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available