{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/26093"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/26093","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A composite material approach towards induction machine design using planar layer models","abstract":"The three-phase squirrel cage induction machine has seen evolutionary, not revolutionary, advancements since its conception over 100 years ago. At its most basic level, the design has remained very close to its roots. This thesis emphasizes electric machine synthesis through the development of system limitations based on material constraints. Representation of an induction system in a composite-structure framework permits the removal of constraints common to current design procedures, allowing the effects of unusual material parameter combinations on system performance to be studied. Developed from accepted anisotropic layer-based analysis techniques for induction devices, this approach pairs a simplified geometric model with an analytical solution for magnetic diffusion. The tool strongly supports the preliminary stages of electric machine design through straightforward sensitivity analysis along with tractable subregion material optimization. The ability to highlight underlying material design decisions and determine ideal parameter combinations is illustrated through a three-layer composite system. Initial machine realization is reformulated as a de-homogenization problem, where macroscopic composite structures capable of providing desired material parameter combinations are determined. The thrust in a linear induction motor is measured for various secondary composite arrangements to evaluate the tool’s ability in developing effective initial machine designs from scratch. Experiments show that proper realization and formation of physical composite structures are pivotal for accurate system performance estimations. Preliminary results indicate that representation of electromechanical systems as a macroscopic composite provides the potential to create interesting new electric machine arrangements capable of yielding increased system performance.","abstract_html":"The three-phase squirrel cage induction machine has seen evolutionary, not revolutionary, advancements since its conception over 100 years ago. At its most basic level, the design has remained very close to its roots. This thesis emphasizes electric machine synthesis through the development of system limitations based on material constraints. Representation of an induction system in a composite-structure framework permits the removal of constraints common to current design procedures, allowing the effects of unusual material parameter combinations on system performance to be studied. Developed from accepted anisotropic layer-based analysis techniques for induction devices, this approach pairs a simplified geometric model with an analytical solution for magnetic diffusion. The tool strongly supports the preliminary stages of electric machine design through straightforward sensitivity analysis along with tractable subregion material optimization. The ability to highlight underlying material design decisions and determine ideal parameter combinations is illustrated through a three-layer composite system. Initial machine realization is reformulated as a de-homogenization problem, where macroscopic composite structures capable of providing desired material parameter combinations are determined. The thrust in a linear induction motor is measured for various secondary composite arrangements to evaluate the tool’s ability in developing effective initial machine designs from scratch. Experiments show that proper realization and formation of physical composite structures are pivotal for accurate system performance estimations. Preliminary results indicate that representation of electromechanical systems as a macroscopic composite provides the potential to create interesting new electric machine arrangements capable of yielding increased system performance.","abstract_has_math":false,"creators":["Magill, Matthew P."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Krein, Philip T."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-08-25T22:12:40Z","date_published":"2011-08-25T22:12:40Z","updated_at":"2026-07-22T22:25:26Z","subjects":["Induction machine","machine design","machine optimization","linear induction motor","planar layer theory","composite","metamaterial","homogenization","de-homogenization"],"languages":["en"],"rights":["Copyright 2011 Matthew P. Magill"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/26093","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Krein, Philip T."]},{"key":"dc:creator","label":"Author","values":["Magill, Matthew P."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-08-25T22:12:40Z","2011-08"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"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":["Induction machine","machine design","machine optimization","linear induction motor","planar layer theory","composite","metamaterial","homogenization","de-homogenization"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2011 Matthew P. 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Developed from accepted anisotropic layer-based analysis techniques for induction devices, this approach pairs a simplified geometric model with an analytical solution for magnetic diffusion. The tool strongly supports the preliminary stages of electric machine design through straightforward sensitivity analysis along with tractable subregion material optimization. The ability to highlight underlying material design decisions and determine ideal parameter combinations is illustrated through a three-layer composite system. Initial machine realization is reformulated as a de-homogenization problem, where macroscopic composite structures capable of providing desired material parameter combinations are determined. The thrust in a linear induction motor is measured for various secondary composite arrangements to evaluate the tool’s ability in developing effective initial machine designs from scratch. Experiments show that proper realization and formation of physical composite structures are pivotal for accurate system performance estimations. Preliminary results indicate that representation of electromechanical systems as a macroscopic composite provides the potential to create interesting new electric machine arrangements capable of yielding increased system performance.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-07-18T19:42:06Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Magill_Matthew.pdf: 2561762 bytes, checksum: 7da740575ecbd9eccf9fb7f5e274a8ad (MD5)","Made available in DSpace on 2011-08-25T22:12:40Z (GMT). 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Representation of an induction system in a composite-structure framework permits the removal of constraints common to current design procedures, allowing the effects of unusual material parameter combinations on system performance to be studied. Developed from accepted anisotropic layer-based analysis techniques for induction devices, this approach pairs a simplified geometric model with an analytical solution for magnetic diffusion. The tool strongly supports the preliminary stages of electric machine design through straightforward sensitivity analysis along with tractable subregion material optimization. The ability to highlight underlying material design decisions and determine ideal parameter combinations is illustrated through a three-layer composite system. Initial machine realization is reformulated as a de-homogenization problem, where macroscopic composite structures capable of providing desired material parameter combinations are determined. The thrust in a linear induction motor is measured for various secondary composite arrangements to evaluate the tool’s ability in developing effective initial machine designs from scratch. Experiments show that proper realization and formation of physical composite structures are pivotal for accurate system performance estimations. Preliminary results indicate that representation of electromechanical systems as a macroscopic composite provides the potential to create interesting new electric machine arrangements capable of yielding increased system performance.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-07-18T19:42:06Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Magill_Matthew.pdf: 2561762 bytes, checksum: 7da740575ecbd9eccf9fb7f5e274a8ad (MD5)","Made available in DSpace on 2011-08-25T22:12:40Z (GMT). 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