Generative design algorithms in topology optimization of passive heat spreaders

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Systems & Entrepreneurial Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2017

Author dc:creator

• Lohan, Danny John

Contributors dc:contributor

• Allison, James T.

• Topology Optimization
• Heat Spreader Design
• Generative Algorithms

Statement dc:rights

• Copyright 2016 Danny J. Lohan

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/95423

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/95423