Abstract
We analyze the role of different rivet and die design parameters on the feasibility and quality of the self-piercing riveting (SPR) joining of metallic sheet stacks. In particular, the riveting of a similar aluminum-to‑aluminum sheet stack (AA2019/AA7075-F) and a dissimilar aluminum-to-steel sheet stack (AA7075-F/BA0270) is investigated, both experimentally and numerically. Towards this, the different rivet and sheet materials are experimentally characterized to obtain their elastoplastic and fracture attributes. Thereafter, SPR process finite element models are developed. Initially, the joint feasibility is experimentally probed for specific available rivet and die configurations, thus identifying SPR process parameters that allow for successful joining. Thereafter, a wider range of SPR process parameters is investigated numerically. It is observed that a combination of successful joint formation and high interlock values is obtained over specific ranges of rivet leg thickness and die depth values. Moreover, low rivet leg thickness values and near-unity normalized die depths – with the sum of the die depth and total sheet thickness normalized with respect to the rivet leg length – yield high quality SPR joints for both types of stacks considered. However, the optimum parameter selection is stack-specific, with high-quality AA2019/AA7075-F SPR joints observed to be feasible over a more constrained parametric space compared to the AA7075-F/BA0270 joining case. Further, it is concluded that the mean von Mises stress induced in the sheets after the SPR process is primarily affected by the selection of the die depth, with the induced stress being less sensitive to other design parameters, such as the rivet leg thickness or die shape for both joining cases.
Original language | English (US) |
---|---|
Pages (from-to) | 290-302 |
Number of pages | 13 |
Journal | Journal of Manufacturing Processes |
Volume | 69 |
DOIs | |
State | Published - Sep 2021 |
Keywords
- Aluminum
- Experimental testing
- Joint feasibility
- Joint quality
- Numerical simulation
- Optimization
- Self-pierce riveting
- Steel
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering