Please use this identifier to cite or link to this item: doi:10.22028/D291-29415
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Title: Function-based Material Selection for Cross-component Lightweight Design within the Extended Target Weighing Approach
Author(s): Revfi, Sven
Kaspar, Jerome
Vielhaber, Michael
Albers, Albert
Editor(s): Wartzack, Sandro
Schleich, Benjamin
Language: English
Title: Proceedings of the Design Society : 22nd International Conference on Engineering Design
Startpage: 2715
Endpage: 2724
Publisher/Platform: Design Society
Year of Publication: 2019
Title of the Conference: ICED19
Place of the conference: Delft, Niederlande
Publikation type: Conference Paper
Abstract: Shortening product development cycles while improving cost efficiency and quality epitomize a key challenge in today's competitive market environment. Integrated approaches simultaneously taking into account a conceptual design, material and processing definition methodologically facilitate the progress of promising product solutions most effectively. However, assorted approaches in the field of lightweight design as well as material selection mostly trying to cover alternative solutions on a component-specific level exclusively, yet. Thus, this contribution outlines a cross-component material selection for function-based lightweight design within the Extended Target Weighing Approach covering the identification and evaluation of lightweight design potentials. The developed method is based on Ashby's material selection additionally taking into account project objectives for mass, costs and CO2 emissions in individual functional design spaces. Resulting in material combinations fitting to clearly stated project targets, the product engineer is already supported in an early phase of product development when initially assessing feasible materials for the overall system development.
DOI of the first publication: 10.1017/dsi.2019.278
URL of the first publication: https://www.designsociety.org/publication/42025/Function-based+Material+Selection+for+Cross-component+Lightweight+Design+within+the+Extended+Target+Weighing+Approach
Link to this record: hdl:20.500.11880/28421
http://dx.doi.org/10.22028/D291-29415
ISSN: 2220-4342
Date of registration: 4-Dec-2019
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Michael Vielhaber
Collections:UniBib – Die Universitätsbibliographie

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