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Potentiale datengestützter Methoden zur Gestaltung und Optimierung mechanischer Fügeverbindungen

Zirngibl, Christoph; Schleich, Benjamin; Wartzack, Sandro


Type:
Year:
2020
Editor:
Dieter Krause; Kristin Paetzold; Sandro Wartzack
Author:
Series:
DfX
Institution:
Engineering Design; Friedrich-Alexander-Universität Erlangen-Nürnberg
Section:
Digital Engineering
Page(s):
71-80
DOI number:
Abstract:
Due to the increasing requirements on lightweight constructions, the demands for efficient joining processes are constantly rising. Therefor cold forming processes provide a faster and less expensive alternative to established thermal joining methods. In order to guarantee the joining reliability, not only the selection of a suitable process, but also the design and dimensioning of the joint is crucial. As a possible solution, data-driven methods offer procedures for the structuring of data and the targeted analysis of product features and key variables. Motivated by this, the paper shows a literature-based approach by using the example of clinching to illustrate the potentials and limits of data-based methods for the design and optimization of mechanical joining processes.
Keywords:

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