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Title:Generative design algorithms in topology optimization of passive heat spreaders
Author(s):Lohan, Danny John
Advisor(s):Allison, James T
Department / Program:Industrial&Enterprise Sys Eng
Discipline:Systems & Entrepreneurial Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(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.
Issue Date:2016-12-08
Type:Thesis
URI:http://hdl.handle.net/2142/95423
Rights Information:Copyright 2016 Danny J. Lohan
Date Available in IDEALS:2017-03-01
Date Deposited:2016-12


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