Strength prediction of self-pierce riveted joint in Cross-Tension and Lap-Shear

Rezwanul Haque; Yvonne Durandet

doi:10.1016/j.matdes.2016.07.029

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Strength prediction of self-pierce riveted joint in Cross-Tension and Lap-Shear

Journal article

Open access

Peer reviewed

Strength prediction of self-pierce riveted joint in Cross-Tension and Lap-Shear

Rezwanul Haque and Yvonne Durandet

Materials and Design, Vol.108, pp.666-678

2016

DOI: https://doi.org/10.1016/j.matdes.2016.07.029

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Abstract

self-piercing riveting

SPR

joint strength

analytical model

cross-tension,

lap-shear

This paper describes a parametric study of the mechanical behaviour of self-pierced riveted (SPR) joints of steel sheets in two loading conditions (lap-shear and cross-tension). Higher strength was always observed in lap-shear testing than in cross-tension. In both loading conditions, the strength of a joint was greatly influenced by the hardness and thickness of sheet materials and die depth. An empirical model was developed to predict the joint strength in cross-tension loading using characteristic joint data determined directly from the SPR process (force-displacement) curve. All predictions of joint strength fell within 10% of the measured joint strength. Finally, a relationship was established between the joint strength in lap shear and cross-tension with less than 8% error. The developed relationship provides a useful tool for further studies especially for different rivet and die geometry.

Details

Title: Strength prediction of self-pierce riveted joint in Cross-Tension and Lap-Shear
Authors: Rezwanul Haque (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
Yvonne Durandet (Author) - Swinburne University
Publication details: Materials and Design, Vol.108, pp.666-678
Publisher: Elsevier Ltd.
Date published: 2016
DOI: 10.1016/j.matdes.2016.07.029
ISSN: 0264-1275; 0264-1275
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
Language: English
Record Identifier: 99451263102621
Output Type: Journal article
Research Statement: false

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Collaboration types: Domestic collaboration
Web Of Science research areas: Materials Science, Multidisciplinary