Potentiale datengestützter Methoden zur Gestaltung und Optimierung mechanischer Fügeverbindungen

Proceedings of the 31st Symposium Design for X (DFX2020)

Year: 2020
Editor: Dieter Krause; Kristin Paetzold; Sandro Wartzack
Author: Zirngibl, Christoph; Schleich, Benjamin; Wartzack, Sandro
Series: DfX
Institution: Engineering Design; Friedrich-Alexander-Universität Erlangen-Nürnberg
Section: Digital Engineering
Page(s): 71-80
DOI number: https://doi.org/10.35199/dfx2020.8

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: Clinching; Data-driven optimization; Multiobjective Optimization

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