{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/105691"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/105691","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Simultaneous packing and routing optimization of thermal-fluid systems","abstract":"This study investigates the computational design of thermo-mechanical systems. The optimization simultaneously finds the best placement of devices as well as placement and size of routing segments. The layout must satisfy geometric constraints to avoid interference between components. Constraints based on physics models are also included. Physics constraints are important to designing a system feasible for real world use, but are often overlooked in current methods for routing optimization. A thermal conduction finite element model based on geometric projection is presented. Pressure drop of the fluid in the routing is modeled with a lumped parameter pipe flow model. A parameterization is developed that allows the use of gradient based optimization methods. Analytical sensitivities of the physics models and geometric constraints with respect to the parameterization are derived. A simple system is optimized using three different objective functions resulting in three significantly different layouts, demonstrating the importance of including physics in the optimization problem.","abstract_html":"This study investigates the computational design of thermo-mechanical systems. The optimization simultaneously finds the best placement of devices as well as placement and size of routing segments. The layout must satisfy geometric constraints to avoid interference between components. Constraints based on physics models are also included. Physics constraints are important to designing a system feasible for real world use, but are often overlooked in current methods for routing optimization. A thermal conduction finite element model based on geometric projection is presented. Pressure drop of the fluid in the routing is modeled with a lumped parameter pipe flow model. A parameterization is developed that allows the use of gradient based optimization methods. Analytical sensitivities of the physics models and geometric constraints with respect to the parameterization are derived. A simple system is optimized using three different objective functions resulting in three significantly different layouts, demonstrating the importance of including physics in the optimization problem.","abstract_has_math":false,"creators":["Jessee, Alexander"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":["James, Kai"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-11-26T20:35:08Z","date_published":"2019-11-26T20:35:08Z","updated_at":"2026-07-22T22:24:44Z","subjects":["optimization","routing","packing","system layout"],"languages":["en"],"rights":["Copyright 2019 Alexander Jessee"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/105691","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["James, Kai"]},{"key":"dc:creator","label":"Author","values":["Jessee, Alexander"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-11-26T20:35:08Z","2019-07-15","2019-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["optimization","routing","packing","system layout"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Alexander Jessee"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/105691"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This study investigates the computational design of thermo-mechanical systems. The optimization simultaneously finds the best placement of devices as well as placement and size of routing segments. The layout must satisfy geometric constraints to avoid interference between components. Constraints based on physics models are also included. Physics constraints are important to designing a system feasible for real world use, but are often overlooked in current methods for routing optimization. A thermal conduction finite element model based on geometric projection is presented. Pressure drop of the fluid in the routing is modeled with a lumped parameter pipe flow model. A parameterization is developed that allows the use of gradient based optimization methods. Analytical sensitivities of the physics models and geometric constraints with respect to the parameterization are derived. A simple system is optimized using three different objective functions resulting in three significantly different layouts, demonstrating the importance of including physics in the optimization problem.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-11-26 without embargo terms","The student, Alexander Jessee, accepted the attached license on 2019-07-14 at 12:37.","The student, Alexander Jessee, submitted this Thesis for approval on 2019-07-14 at 12:37.","This Thesis was approved for publication on 2019-07-15 at 11:35.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14305 on 2019-11-26 at 12:53:36","Made available in DSpace on 2019-11-26T20:35:08Z (GMT). No. of bitstreams: 2 JESSEE-THESIS-2019.pdf: 1457783 bytes, checksum: e5ca022d7d47c9d148c0662f8963f162 (MD5) LICENSE.txt: 4208 bytes, checksum: 995672e9954c0293aa2c4274460eb0ea (MD5) Previous issue date: 2019-07-15"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Simultaneous packing and routing optimization of thermal-fluid systems"]}]}],"canonical_facts":{"dc:contributor":["James, Kai"],"dc:creator":["Jessee, Alexander"],"dc:date":["2019-11-26T20:35:08Z","2019-07-15","2019-08"],"dc:description":["This study investigates the computational design of thermo-mechanical systems. The optimization simultaneously finds the best placement of devices as well as placement and size of routing segments. The layout must satisfy geometric constraints to avoid interference between components. Constraints based on physics models are also included. Physics constraints are important to designing a system feasible for real world use, but are often overlooked in current methods for routing optimization. A thermal conduction finite element model based on geometric projection is presented. Pressure drop of the fluid in the routing is modeled with a lumped parameter pipe flow model. A parameterization is developed that allows the use of gradient based optimization methods. Analytical sensitivities of the physics models and geometric constraints with respect to the parameterization are derived. A simple system is optimized using three different objective functions resulting in three significantly different layouts, demonstrating the importance of including physics in the optimization problem.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-11-26 without embargo terms","The student, Alexander Jessee, accepted the attached license on 2019-07-14 at 12:37.","The student, Alexander Jessee, submitted this Thesis for approval on 2019-07-14 at 12:37.","This Thesis was approved for publication on 2019-07-15 at 11:35.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14305 on 2019-11-26 at 12:53:36","Made available in DSpace on 2019-11-26T20:35:08Z (GMT). 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