{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/95423"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/95423","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Generative design algorithms in topology optimization of passive heat spreaders","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Lohan, Danny John"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Systems & Entrepreneurial Engr","degree_department":null,"school":null,"contributors":["Allison, James T."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-03-01T15:49:35Z","date_published":"2017-03-01T15:49:35Z","updated_at":"2026-07-22T22:26:37Z","subjects":["Topology Optimization","Heat Spreader Design","Generative Algorithms"],"languages":["en"],"rights":["Copyright 2016 Danny J. 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The results presented in this thesis are the first steps in creating a rich and generalizable design optimization methodology.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-02-28 without embargo terms","The student, Danny Lohan, accepted the attached license on 2016-12-08 at 14:38.","The student, Danny Lohan, submitted this Thesis for approval on 2016-12-08 at 14:44.","This Thesis was approved for publication on 2016-12-08 at 16:28.","DSpace SAF Submission Ingestion Package generated from Vireo submission #10495 on 2017-02-28 at 15:03:53","Made available in DSpace on 2017-03-01T15:49:35Z (GMT). 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