DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, Sangeun | ko |
dc.contributor.author | Jung, Yongsu | ko |
dc.contributor.author | Lee, Ikjin | ko |
dc.contributor.author | Kang, Namwoo | ko |
dc.date.accessioned | 2020-06-25T01:21:06Z | - |
dc.date.available | 2020-06-25T01:21:06Z | - |
dc.date.created | 2020-06-12 | - |
dc.date.created | 2020-06-12 | - |
dc.date.created | 2020-06-12 | - |
dc.date.issued | 2018-08 | - |
dc.identifier.citation | ASME International Design Engineering Technical Conferences (IDETC) / Computers and Information in Engineering Conference (CIE) | - |
dc.identifier.uri | http://hdl.handle.net/10203/274841 | - |
dc.description.abstract | Recent advances in deep learning enable machines to learn existing designs by themselves and to create new designs. Generative adversarial networks (GANs) are widely used to generate new images and data by unsupervised learning. Certain limitations exist in applying GANs directly to product designs. It requires a large amount of data, produces uneven output quality, and does not guarantee engineering performance. To solve these problems, this paper proposes a design automation process by combining GANs and topology optimization. The suggested process has been applied to the wheel design of automobiles and has shown that an aesthetically superior and technically meaningful design can be automatically generated without human interventions. | - |
dc.language | English | - |
dc.publisher | AMER SOC MECHANICAL ENGINEERS | - |
dc.title | DESIGN AUTOMATION BY INTEGRATING GENERATIVE ADVERSARIAL NETWORKS AND TOPOLOGY OPTIMIZATION | - |
dc.type | Conference | - |
dc.identifier.wosid | 000461130400008 | - |
dc.identifier.scopusid | 2-s2.0-85057001882 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | ASME International Design Engineering Technical Conferences (IDETC) / Computers and Information in Engineering Conference (CIE) | - |
dc.identifier.conferencecountry | CN | - |
dc.identifier.conferencelocation | Quebec City | - |
dc.identifier.doi | 10.1115/DETC2018-85506 | - |
dc.contributor.localauthor | Lee, Ikjin | - |
dc.contributor.localauthor | Kang, Namwoo | - |
dc.contributor.nonIdAuthor | Oh, Sangeun | - |
dc.contributor.nonIdAuthor | Jung, Yongsu | - |
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