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dc.contributor.author민승재-
dc.date.accessioned2018-03-30T06:33:39Z-
dc.date.available2018-03-30T06:33:39Z-
dc.date.issued2014-05-
dc.identifier.citation대한기계학회 2014년도 추계학술대회, 2014, 2014(11), P.831-833en_US
dc.identifier.issn1738-494X-
dc.identifier.urihttp://www.dbpia.co.kr/Article/NODE06069430-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/54367-
dc.description.abstractThis paper proposes the level set based design optimization of magnetic actuator using the adaptive remeshing technique. To get the clear boundary of optimal configuration|the level set method is employed. In the conventional level set based optimization|the level set boundary depends on the initial mesh. However|since the electromagnetic force for the actuator design is calculated by integrating the Maxwell's stress tensor over the exterior surfaces of the design domain|the adaptive remeshing technique is employed to place nodes on the surfaces. During optimization process|the finite element mesh is re-generated based on the values of the level set function at each node on the boundary. To verify the effectiveness of the proposed method|the design example of C-core actuator is performed.en_US
dc.language.isoko_KRen_US
dc.publisher대한기계학회 / The Korean Society of Mechanical Engineersen_US
dc.subject레벨셋 기반 위상최적설계en_US
dc.subject적응적 요소망en_US
dc.subject자기 액추에이터en_US
dc.subjectlevel set based topology optimizationen_US
dc.subjectadaptive meshen_US
dc.subjectmagnetic actuatoren_US
dc.title적응적 요소망 재구성 기법을 이용한 레벨셋 기반 위상최적설계en_US
dc.title.alternativeLevel set based design optimization of magnetic actuator using adaptive remeshing techniqueen_US
dc.typeArticleen_US
dc.relation.page54-55-
dc.contributor.googleauthor정승민-
dc.contributor.googleauthor민승재-
dc.contributor.googleauthorJung, Seungmin-
dc.contributor.googleauthorMin, Seungjae-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF AUTOMOTIVE ENGINEERING-
dc.identifier.pidseungjae-
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COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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