Generative Design for Manufacturing: Integrating Generation with Optimization Using a Guided Voxel Diffusion Model

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dc.contributor.authorSong, Binyangen
dc.contributor.authorChilukuri, Premith Kumaren
dc.contributor.authorKang, Sungkuen
dc.contributor.authorJin, Ranen
dc.date.accessioned2024-02-22T18:31:43Zen
dc.date.available2024-02-22T18:31:43Zen
dc.date.issued2024en
dc.description.abstractIn digital manufacturing, converting advanced designs into quality products is hampered by manufacturers' limited design knowledge, restricting the adoption and enhancement of innovative solutions. This paper addresses this challenge through a novel generative denoising diffusion model (DDM) trained on historical 3D design data, enabling the creation of voxel-based designs that meet manufacturing standards. By integrating a surrogate model for evaluating the manufacturability of generated designs, the proposed DDM is able to optimize manufacturability during the generative process. This paper takes a leap forward from the predominant 2D focus of existing generative models towards 3D generative design, which not only broadens manufacturers' design capabilities but also accelerates the development of practical and optimized products. We demonstrate the efficacy of this approach via a case study on Microbial Fuel Cell (MFC) anode design, illustrating how this method can significantly enhance manufacturing workflows and outcomes. Our research offers a path for manufacturers to deepen their design expertise and foster innovation in digital manufacturing.en
dc.description.notesYes, full paper (Peer reviewed?)en
dc.description.versionAccepted versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://hdl.handle.net/10919/118111en
dc.language.isoenen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleGenerative Design for Manufacturing: Integrating Generation with Optimization Using a Guided Voxel Diffusion Modelen
dc.typeConference proceedingen
dc.type.dcmitypeTexten
pubs.finish-date2024-02-27en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.start-date2024-02-20en

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