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Deep Generative Design for Mass Production
March 20, 2024, 4:42 a.m. | Jihoon Kim, Yongmin Kwon, Namwoo Kang
cs.LG updates on arXiv.org arxiv.org
Abstract: Generative Design (GD) has evolved as a transformative design approach, employing advanced algorithms and AI to create diverse and innovative solutions beyond traditional constraints. Despite its success, GD faces significant challenges regarding the manufacturability of complex designs, often necessitating extensive manual modifications due to limitations in standard manufacturing processes and the reliance on additive manufacturing, which is not ideal for mass production. Our research introduces an innovative framework addressing these manufacturability concerns by integrating constraints …
abstract advanced algorithms arxiv beyond challenges constraints cs.ai cs.cv cs.lg design designs diverse eess.iv generative generative design limitations manufacturing processes production solutions standard success type
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