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Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) 3/2020

03.08.2020 | Original Paper

G-DfAM: a methodological proposal of generative design for additive manufacturing in the automotive industry

verfasst von: Tristan Briard, Frédéric Segonds, Nicolo Zamariola

Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) | Ausgabe 3/2020

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Abstract

Metal additive manufacturing is an emerging technology in the industry and has a great potential. Moreover, new technologies like generative design can maximize this potential by computing complex optimized parts for additive manufacturing solutions. However, there is a lack of methodologies combining both recent and promising technologies. This paper first establishes a state of the art of design for additive manufacturing (DfAM) and generative design methodologies. Then it proposes a generic workflow for generative design tools and it proposes a challenge approach to develop a new DfAM method including generative design tools. Finally, a global 4-step methodology maximizing the potential of generative design and additive manufacturing, the G-DfAM method, is presented and validated through an automotive use case.

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Metadaten
Titel
G-DfAM: a methodological proposal of generative design for additive manufacturing in the automotive industry
verfasst von
Tristan Briard
Frédéric Segonds
Nicolo Zamariola
Publikationsdatum
03.08.2020
Verlag
Springer Paris
Erschienen in
International Journal on Interactive Design and Manufacturing (IJIDeM) / Ausgabe 3/2020
Print ISSN: 1955-2513
Elektronische ISSN: 1955-2505
DOI
https://doi.org/10.1007/s12008-020-00669-6

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