Performance optimization of self-piercing rivets through analytical rivet strength estimation

Xin Sun, Mohammad A. Khaleel

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

This paper presents the authors' work on strength optimization and failure mode prediction of self-piercing rivets (SPRs) for automotive applications. The limit load based strength estimator is used to estimate the static strength of an SPR under a cross-tension loading configuration. Failure modes associated with the estimated failure strength are also predicted. Experimental strength and failure mode observations are used to validate the model. It is shown that the strength of an SPR joint depends on the material and gage combinations, rivet design, die design, and riveting direction. The rivet strength estimator is then used to optimize the rivet strength by comparing the measured rivet strength and failure mode with the predicted ones. Two illustrative examples are used in which rivet strength is optimized by changing rivet design and riveting direction from the original manufacturing parameters.

Original languageEnglish
Pages (from-to)83-93
Number of pages11
JournalJournal of Manufacturing Processes
Volume7
Issue number1
Publication statusPublished - 28 Nov 2005
Externally publishedYes

Fingerprint

Rivets
Piercing
Failure modes
Riveting
Load limits
Gages

Keywords

  • Analytical Rivet Strength Estimation
  • Dissimilar Material Joints
  • Rivet Strength
  • Rivet Strength Optimization
  • Sell-Piercing Rivets

ASJC Scopus subject areas

  • Materials Science (miscellaneous)

Cite this

Performance optimization of self-piercing rivets through analytical rivet strength estimation. / Sun, Xin; Khaleel, Mohammad A.

In: Journal of Manufacturing Processes, Vol. 7, No. 1, 28.11.2005, p. 83-93.

Research output: Contribution to journalArticle

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