The Library
Modelling and interaction analysis of the self-pierce riveting process using regression analysis and FEA
Tools
Zhao, Huan, Han, Li, Liu, Yunpeng and Liu, Xianping (2021) Modelling and interaction analysis of the self-pierce riveting process using regression analysis and FEA. International Journal of Advanced Manufacturing Technology, 113 . pp. 159-176. doi:10.1007/s00170-020-06519-9 ISSN 0268-3768.
|
PDF
WRAP-modelling-interaction-analysis-self-pierce-riveting-process-using-regression-analysis-FEA-Liu-2021.pdf - Accepted Version - Requires a PDF viewer. Download (2791Kb) | Preview |
Official URL: https://doi.org/10.1007/s00170-020-06519-9
Abstract
Self-pierce riveting (SPR) is a major joining method used in the automotive industry. However, there still lacks a fast and easy-to-use joint quality prediction tool available for the automotive engineers. In this study, the simple but effective regression analysis method was applied to quickly predict the SPR joint quality. Two regression models were developed for the prediction of the interlock and the minimum remaining bottom sheet thickness (Tmin). The prediction accuracy of the developed regression models was validated by comparing with the experimental results. Under the studied joint configurations, the mean absolute errors (MAE) of the interlock and Tmin were 0.047mm and 0.053mm respectively, and the corresponding mean absolute percentage errors (MAPE) were 10.4% and 12.3%. With the developed models, the interaction effects between rivet and die parameters on the joint interlock and Tmin were also systematically analysed. The results revealed that the rivet and die parameters demonstrated significant influences on the interlock but not on the Tmin. These interaction effects were further examined by analysing the deformations of the rivet and substrate materials. Moreover, the die-to-rivet volume ratio (R) was found to be critical for the formation of interlock, and a larger interlock is more likely achieved when the R is close to 1.0.
Item Type: | Journal Article | ||||||
---|---|---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery |
||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Library of Congress Subject Headings (LCSH): | Riveted joints, Riveted joints -- Testing, Rivets and riveting , Regression analysis | ||||||
Journal or Publication Title: | International Journal of Advanced Manufacturing Technology | ||||||
Publisher: | Springer UK | ||||||
ISSN: | 0268-3768 | ||||||
Official Date: | 21 January 2021 | ||||||
Dates: |
|
||||||
Volume: | 113 | ||||||
Page Range: | pp. 159-176 | ||||||
DOI: | 10.1007/s00170-020-06519-9 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 22 February 2021 | ||||||
Date of first compliant Open Access: | 21 January 2022 | ||||||
RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year