Generative design algorithms in topology optimization of passive heat spreaders

Topology Optimization;Heat Spreader Design;Generative Algorithms

Lohan, Danny John ; Allison ; James T.

关键词: Topology Optimization;    Heat Spreader Design;    Generative Algorithms;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/95423/LOHAN-THESIS-2016.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

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.