Zirngibl C, Schleich B, Wartzack S (2021)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2021
Publisher: Cambridge University Press
City/Town: Cambridge
Conference Proceedings Title: Proceedings of the Design Society
Event location: Göteborg
DOI: 10.1017/pds.2021.52
As a result of the increasing challenges in the field of lightweight constructions, the demand for
efficient joining technologies is continuously rising. For this purpose, cold forming processes offer an
environmental friendly and fast alternative to established joining methods (e.g. welding). However, to
ensure a high reliability, not only the selection of an appropriate procedure, but also the dimensioning
of the individual joint is essential. While product designers can rely on a wide range of design
principles for thermal processes, the dimensioning and evaluation of mechanical joining processes is
mainly based on expert knowledge and a few experimental tests. Although few studies already
investigated the numerical analysis of mechanical joints, an approach for the sustainable and
consistent optimization of the strength and reliability of joining connections for varying use-cases is
not available yet. Motivated by this lack, this paper presents an approach for the automated transfer of
information within the process chain and the data-based analysis of mechanical joints by using
clinching as an example. Therefore, the CRISP-DM reference model is used for the systematic data
mining.
APA:
Zirngibl, C., Schleich, B., & Wartzack, S. (2021). Approach for the automated and data-based design of mechnical joints. In The Design Society (Eds.), Proceedings of the Design Society. Göteborg: Cambridge: Cambridge University Press.
MLA:
Zirngibl, Christoph, Benjamin Schleich, and Sandro Wartzack. "Approach for the automated and data-based design of mechnical joints." Proceedings of the 23rd International Conference on Engineering Design, Göteborg Ed. The Design Society, Cambridge: Cambridge University Press, 2021.
BibTeX: Download