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Functionally Graded Lattice Infill and Cooling Channel Design Optimization for Additive Manufacturing
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Functionally Graded Lattice Infill and Cooling Channel Design Optimization for Additive Manufacturing. |
| 개인저자 | Cheng, Lin. |
| 단체저자명 | University of Pittsburgh. Swanson School of Engineering. |
| 발행사항 | [S.l.]: University of Pittsburgh., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 348 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
| ISBN | 9781088371060 |
| 학위논문주기 | Thesis (Ph.D.)--University of Pittsburgh, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Advisor: To, Albert C. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | To realize the full potential of additive manufacturing (AM) techniques, a lattice structure design optimization methodology is proposed to design functionally graded lattice structures, in order to achieve optimal performance while satisfying manufacturing constraints. A lattice structure topology optimization (LSTO) method is first proposed and the framework includes three key steps: (1) Asymptotic homogenization (AH) is developed to calculate effective properties of 3D printed lattice materials, such as elastic modulus, yield strength, thermal conductivity and forced convection heat transfer coefficient |
| 일반주제명 | Mechanical engineering. Engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
