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WEB Investigation of influencing parameters on the joint formation of the self-piercing riveting process

Tuesday (22.09.2020)
15:15 - 15:30 Z: Special Symposia II
Part of:

Increasing economic and ecological demands in the construction of vehicles lead to an enhanced use of lightweight construction technologies. A central aspect of this trend is the use of multi-material mixes consisting of different components with varying mechanical and geometric properties. Due to metallurgical incompatibilities and with the focus on process robustness, conventional thermal joining technologies reaching their limits, thus mechanical joining technologies are increasingly used. A frequently used joining process is the forming and joining by self-piercing riveting, characterized by high resource and process efficiency. For process-safe joining of the modern customizable multi-material components, versatile joining processes are necessary, which can be adapted to changing boundary conditions.

For the design of new methods and process control strategies for versatile self-piercing riveting, a fundamental understanding of the process is required. In order to evaluate the influence of various factors on the formation of joints a sensitivity analysis was performed. Therefore the material of the joining partners was characterized and the flow curves were generated. By using the flow curves a axisymmetric 2D simulation model was built up. The model was validated using various quality-relevant characteristics as well as the comparison of determined process curve from punch force and displacement. The influence of different process parameters such as die depth as well as different disturbance parameters like sheet thickness were investigated. By using statistical methods, significant influences were determined and interactions between the individual parameters were identified. Particular influence on the interlock and the minimum die side material thickness is taken by the rivet length. An interaction between these two quality-relevant parameters was also observed.

Fabian Kappe
Paderborn University
Additional Authors:
  • Simon Wituschek
    University of Erlangen-Nürnberg
  • Dr. Michael Lechner
    University of Erlangen-Nürnberg
  • Dr. Mathias Bobbert
    Paderborn University
  • Prof. Dr. Gerson Meschut
    Paderborn University
  • Prof. Dr. Marion Merklein
    University of Erlangen-Nürnberg