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딥 러닝 접근법을 사용한 AM의 최적 내부구조 예측Predicting optimal infill for additive manufacturing using deep learning approach

Other Titles
Predicting optimal infill for additive manufacturing using deep learning approach
Authors
구혜지문대환김경환한석영
Issue Date
May-2019
Publisher
한국생산제조학회
Keywords
Additive manufacturing; Infill; Optimal design; Deep learning; Conditional generative adversarial networks
Citation
2019 한국생산제조학회 춘계학술대회 논문집, pp.137 - 137
Indexed
OTHER
Journal Title
2019 한국생산제조학회 춘계학술대회 논문집
Start Page
137
End Page
137
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/14103
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서울 공과대학 > 서울 기계공학부 > 1. Journal Articles

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