Generative design algorithms in topology optimization of passive heat spreaders
Lohan, Danny John
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LOHAN-THESIS-2016.pdf
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https://hdl.handle.net/2142/95423
Description
Title
Generative design algorithms in topology optimization of passive heat spreaders
Author(s)
Lohan, Danny John
Issue Date
2016-12-08
Director of Research (if dissertation) or Advisor (if thesis)
Allison, James T.
Department of Study
Industrial&Enterprise Sys Eng
Discipline
Systems & Entrepreneurial Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2017-03-01T15:49:35Z
Keyword(s)
Topology Optimization
Heat Spreader Design
Generative Algorithms
Abstract
This thesis explores the use of generative algorithms in engineering design. A framework for using generative algorithms in design is presented and a case study for passive heat spreaders is devised to demonstrate the execution of this framework. Topology optimization methods are now the state of the art for heat spreader design. These methods are introduced herein and are used to benchmark solutions obtained through generative design methods. The generative design methodology augments the existing topology optimization methods using evolutionary algorithms in hybrid optimization. The results presented in this thesis are the first steps in creating a rich and generalizable design optimization methodology.
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LOHAN-THESIS-2016.pdf
