Methodischer Aufbau von Entwicklungsumgebungen nach dem Generative Parametric Design Approach
DS 111: Proceedings of the 32nd Symposium Design for X (DFX2021)
Year: 2021
Editor: Dieter Krause, Kristin Paetzold, Sandro Wartzack
Author: Kevin Herrmann, Osman Altun, Philipp Wolniak, Iryna Mozgova, Roland Lachmayer
Series: DfX
Institution: Leibniz University Hanover
Section: Digital Engineering
Page(s): 10
DOI number: 10.35199/dfx2021.14
Abstract
Computer-aided development environments have increasingly found their way into product development over the last 20 years. Particularly in the development of different product variants for different requirements and target groups, they enable the partially or fully automated creation of component designs. The Generative Parametric Design Approach (GPDA) enables the generation of highly dynamic product models for complex components and assemblies by means of structural optimization and thus combines the advantages of parametric, knowledge-based and generative modeling methods. This paper generalizes the GPDA approach and demonstrates its applicability to functional assemblies and in the context of a manufacturing stage-based design model.
Keywords: Generative Parametric Design Approach, Knowledge Based Engineering, Manufacturing Stage-based Design Model, Functional Modeling