2026-09-19T01:14:26Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1329022026-06-06T00:56:30Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Maria Yang.
Mimery, David Richard.
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2021-10-08T17:11:01Z
2021-10-08T17:11:01Z
2020
2020
https://hdl.handle.net/1721.1/132902
1263359164
Thesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, September, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 93-94).
Multidisciplinary design optimization (MDO) is the process of searching for designs which best satisfy a set of objectives, while respecting that the appropriateness of a design is dependent on more than just a single discipline. Traditionally, MDO has been conducted on a higher system level where there is less granular technical detail and more general abstractions applied to the design. With the advances of modern computing and commercially available software tools, it is now possible to conduct MDO at a more granular level such that the part geometry in CAD can be guided by the process. In this thesis, an MDO workflow is created for purposes of improving the design of a manufactured baseplate. Off-the-shelf commercial software tools (ANSYS and OptiSLang) are used to develop the modular workflow, through an iterative improvement process. Final designs are successfully generated from the workflow and compared to baseline and reference designs, with respect to the temperature, cost and frequency properties related to the design. The results obtained in this project demonstrate the potential for MDO to improve the way in which product design and development is conducted in the future.
by David Richard Mimery.
M.Eng. in Advanced Manufacturing and Design
M.Eng.inAdvancedManufacturingandDesign Massachusetts Institute of Technology, Department of Mechanical Engineering
117 pages
eng
Massachusetts Institute of Technology
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Multidisciplinary design optimization of part geometry in CAD
Thesis
application/pdf
2021-10-08T17:11:01Z
Publication
Master
MechE
unknown
unknown
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