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Generative Design Approach for Robust Solution Development

Autor: Haibing Li

ISBN: 978-3-95900-461-9

Dissertation, Leibniz Universität Hannover, 2020

Herausgeber der Reihe: Roland Lachmayer

Band-Nr.: IPEG 02/2020

Umfang: 166 Seiten, 75 Abbildungen

Schlagworte: structural assembly, GDA, DSS exploration, robust solution development

Kurzfassung: Since only low detailed knowledge is available in the conceptual design stage, many requirements are subjected to uncertainties which lead to design changes throughout the development process. In this context, the development of robust solutions is investigated in this work in order to deal with the continuous design changes within minimal effort.
Design solution space (DSS) exploration is proposed as a new method to integrate robustness in a simple manner, since the uncertainties of the requirements can be represented through a set of solutions instead of a rigid one. Based on the analysis of modeling approaches for variable and multi-variant product models, the generative design approach (GDA) was elaborated as a practical approach for DSS exploration. Therefore, a GDA-based development process was proposed that enables designers to search for the most robust solution. The uncertainties of requirements are mapped via a set of design elements and their parametrizations. As a result, a large DSS is explored and represented via GDA model that delivers high robustness and flexibility for handling the requirements uncertainties.
The implementation of a vehicle door structure development demonstrated that the GDA-based development process is capable of developing robust solution against the uncertainties of requirements through DSS exploration.

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