G-DfAM: a methodological proposal of generative design for additive manufacturing in the automotive industry
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ORIGINAL PAPER
G‑DfAM: a methodological proposal of generative design for additive manufacturing in the automotive industry Tristan Briard1,2 · Frédéric Segonds1 · Nicolo Zamariola2 Received: 15 May 2020 / Accepted: 23 July 2020 © Springer-Verlag France SAS, part of Springer Nature 2020
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. Keywords Generative design · Additive manufacturing · Design methodology · Design for additive manufacturing
1 Introduction Additive Manufacturing (AM) is an emerging production technology in the industry often seen as the next industrial revolution. Indeed, AM is growing bigger every year and forecasts on the related market see this trend growing even more, as the use of this technology keeps increasing and the fields of application are expanding [1]. In comparison to conventional manufacturing technologies, AM tends to offer a higher freedom of design and possibilities for mass customization [2]. Moreover, this flexible technology can produce prototype as well as finished part in a short matter of time without tooling or moulds [3]. It can also manufacture complex parts for both professional and personal uses. Furthermore, emerging Computer-Aided Design (CAD) technologies like generative design can maximize the already huge potential of AM. The generative design tools propose optimized parts or assembly by using computer power and optimization technologies [4]. In the same way as the AM field, the generative design ecosystem keeps * Frédéric Segonds [email protected] 1
Arts et Métiers Institute of Technology, LCPI, HESAM Université, 75013 Paris, France
ArcelorMittal, Global Research & Development, 60160 Montataire, France
2
growing every year. There is an increasing use of generative design solutions in major industries like the automotive and aerospace domains, as well as a growing number of generative design tools [1]. Major CAD actors have also developed their own generative design solution to follow this trend. The interactive design appeared to join different engineering cultures [5]. The number of different disciplines involved in the design process related to AM process makes it necessary to adapt an interactive approach i.e. an approach that facilitates the integration of new disc
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