Einwag JM, Götz S, Wartzack S (2024)
Publication Type: Conference contribution
Publication year: 2024
Pages Range: 222-230
Conference Proceedings Title: DS 133: Proceedings of the 35th Symposium Design for X (DFX2024)
DOI: 10.35199/dfx2024.23
The demand for lightweight assemblies necessitates appropiate joining processes, such as cold forming processes enabling multi-material joints. The absence of universally applicable approaches for the design of mechanical joints makes their initial design iterative and time-consuming. Machine learning based approaches already partly solve this problem, but the impact of uncertainties, is usually neglected. Thus, this contribution proposes the concept of a novel computer-aided approach, supporting the initial design of clinch joints, taking into account uncertainties and varying conditions utilizing numerical simulations, data-driven methods and ontologies. This aims for a high-quality joint design demonstrated using an application scenario where a hat profile and a sheet are joined.
APA:
Einwag, J.-M., Götz, S., & Wartzack, S. (2024). Approach for the Reliable and Virtual Design of Mechanical Joints in an Uncertain Environment. In DS 133: Proceedings of the 35th Symposium Design for X (DFX2024) (pp. 222-230). Bamberg, DE.
MLA:
Einwag, Jonathan-Markus, Stefan Götz, and Sandro Wartzack. "Approach for the Reliable and Virtual Design of Mechanical Joints in an Uncertain Environment." Proceedings of the 35th Symposium Design for X (DFX2024), Bamberg 2024. 222-230.
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