The 35th Design for X Symposium (DFX 2024)
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Approach for the Reliable and Virtual Design of Mechanical Joints in an Uncertain Environment
Jonathan-Markus Einwag; Stefan Goetz; Sandro Wartzack
Type:
Year:
2024
Editor:
Dieter Krause; Kristin Paetzold-Byhain; Sandro Wartzack
Author:
Series:
DfX
Institution:
Engineering Design (KTmfk), Friedrich-Alexander-Universitat Erlangen-Nurnberg (FAU), Germany
Page(s):
222-230
DOI number:
Abstract:
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.
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