Integration qualitativer und quantitativer Informationen als Grundlage f

DFX 2012: Proceedings of the 23rd Symposium Design For X, Bamberg/Erlangen, Germany 04.-05.10.2012

Year: 2012
Editor: Dieter Krause, Kristin Paetzold, Sandro Wartzack
Author: Eifler, Tobias; Matthias, Johannes; Kloberdanz, Hermann; Bohn, Andrea; Birkhofer, Herbert
Series: DfX
Institution: TU Darmstadt
Section: Toleranzen und Robust Design
Page(s): 237-248
ISBN: 978-3-941492-51-6

Abstract

The term Robust Design refers to a variety of approaches for the development of products insensitive to the variation of noise factors in life cycleprocesses. Based on a comprehensive analysis and prioritization of existing influencing factors, different RD-strategies and RD-principles for the adjustment of products are proposed. Thereby, a main challenge for an early application of suitable strategies and principles is the lack of knowledge about future product properties, existing interdependencies, acting disturbances, etc. Especially in early design stages, no detailed quantitative description of processes or the product behavior is available. Therefore, the identification of relevant influences affecting the robustness is usually based on the opinion of experts. Available quantitative information often is neglected. In this paper an approach for the integration of quantitative and qualitative information in an early analysis of noise factors is presented. Available simplified models of production processes or the product behavior are complemented by supplementary expert opinion. In this way the designer is supported to identify relevant influencing factors that need to be controlled. The study is part of the Collaborative Research Centre 805: ”Control of Uncertainty in Load Carrying Systems in Mechanical Engineering“, which is publicly funded by the GermanResearch Foundation (DFG).

Keywords: robust design, strategies

Please sign in to your account

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.