부품성능 극대화를 위한 작동환경 반영 단계적 구조최적설계 프로토콜 개발
Abstract
This study presents a novel protocol to enhance the structural optimization design, considering the real manufacturing environment. Conventional manufacturing methods appear inadequate in meeting the high demand for reducing the product size while enhancing performance. Therefore, next-generation technologies will necessitate innovative techniques such as additive manufacturing and design optimization to improve part performance. Additive manufacturing has revived interest in structural optimization technology. However, most companies remain hesitant to adopt new and optimized designs owing to their unfamiliarity with the design process and fear of failure stemming from unforeseen variables. Hence, the protocol proposed in this study offers user selection options based on parametric optimization using machine learning models while incorporating existing validated designs. The expected feasibility function (EFF) provides a guide aligned with specified thresholds, such as design constraints. Topology optimization, utilizing the initial design selected in the previous step, can advance the optimization of engineering products familiar to users.
Keywords:
Kriging model, Topology optimization, User friendly design, Heat removal systemAcknowledgments
본 논문은 정부(과학기술정보통신부)의 재원으로 한국기계연구원 기관 기본사업 (NK242J) 및 한국연구재단 나노 및 소재기술개발사업(2021M3D1A2047721)의 지원을 받아 수행한 연구의 결과입니다.
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Senior Researcher in Korea Institute of Machinery & Materials. Her research interests are Computer-aided Engineering and Structural Optimization.
E-mail: yeoulsong@kimm.re.kr
Ph. D. Candidate in the Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology. His research interest is Optimization with Additive Manufacturing.
E-mail: busong@kaist.ac.kr
Senior Researcher in Korea Institute of Machinery & Materials. His research interest is Design for Additive Manufacturing by using FEM.
E-mail: mkjung@kimm.re.kr
Principal Researcher in Korea Institute of Machinery & Materials. His research interest is Additive Manufacturing Process and Equipment Development.
E-mail: taehoha@kimm.re.kr
Senior Researcher in Korea Institute of Machinery & Materials. His research interest is Process and System Development of Additive Manufacturing System.
E-mail: pilho_lee@kimm.re.kr