{"id":{"repo_id":"soton","oai_identifier":"oai:eprints.soton.ac.uk:72028"},"canonical_url":"https://search.dev.ndltd.org/etd/soton/oai:eprints.soton.ac.uk:72028","repository":{"repo_id":"soton","name":"University of Southampton","base_url":"https://eprints.soton.ac.uk/cgi/oai2"},"display":{"title":"Automated multi-stage geometry parameterization of internal fluid flow applications","abstract":"The search for the most effective method for the geometric parameterization of many internal fluid flow applications is ongoing. This thesis focuses on providing a general purpose automated parameterization strategy for use in design optimization. Commercial Computer-Aided Design (CAD) software, Computational Fluid Dynamics (CFD) software and optimizer tools are brought together to offer a generic and practical solution. A multi-stage parameterization technique for three-dimensional surface manipulation is proposed. The first stage in the process defines the geometry in a global sense, allowing large scale freedom to produce a wide variety of shapes using only a small set of design variables. Invariably, optimization using a simplified global parameterization does not provide small scale detail required for an optimal solution of a complex geometry. Therefore, a second stage is used subsequently to fine-tune the geometry with respect to the objective function being optimized. By using Kriging response surface methodology to support the optimization studies, two diverse applications, a Formula One airbox and a human carotid artery bifurcation, can be concisely represented through a global parameterization followed by a local parameterization.","abstract_html":"The search for the most effective method for the geometric parameterization of many internal fluid flow applications is ongoing. This thesis focuses on providing a general purpose automated parameterization strategy for use in design optimization. Commercial Computer-Aided Design (CAD) software, Computational Fluid Dynamics (CFD) software and optimizer tools are brought together to offer a generic and practical solution. A multi-stage parameterization technique for three-dimensional surface manipulation is proposed. The first stage in the process defines the geometry in a global sense, allowing large scale freedom to produce a wide variety of shapes using only a small set of design variables. Invariably, optimization using a simplified global parameterization does not provide small scale detail required for an optimal solution of a complex geometry. Therefore, a second stage is used subsequently to fine-tune the geometry with respect to the objective function being optimized. By using Kriging response surface methodology to support the optimization studies, two diverse applications, a Formula One airbox and a human carotid artery bifurcation, can be concisely represented through a global parameterization followed by a local parameterization.","abstract_has_math":false,"creators":["Hoyle, Nicola"],"institution":"University of Southampton","degree_name":"Ph.D.","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Keane, A.J.","Bressloff, N.W."],"committee_chairs":[],"committee_members":[],"year":2006,"date_issued":"2006-09","date_published":"2006-09","updated_at":"2026-07-24T04:36:06Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Keane, A.J.","Bressloff, N.W."]},{"key":"dc:creator","label":"Author","values":["Hoyle, Nicola"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2006-09"]},{"key":"dc:date.issued","label":"Date","values":["2006-09"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Electronics & Computer Science (pre 2011 reorg)","School of Electronics and Computer Science"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Southampton"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://eprints.soton.ac.uk/72028/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["Ph.D."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://eprints.soton.ac.uk/72028/1/Hoyle_thesis.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The search for the most effective method for the geometric parameterization of many internal fluid flow applications is ongoing. This thesis focuses on providing a general purpose automated parameterization strategy for use in design optimization. Commercial Computer-Aided Design (CAD) software, Computational Fluid Dynamics (CFD) software and optimizer tools are brought together to offer a generic and practical solution. A multi-stage parameterization technique for three-dimensional surface manipulation is proposed. The first stage in the process defines the geometry in a global sense, allowing large scale freedom to produce a wide variety of shapes using only a small set of design variables. Invariably, optimization using a simplified global parameterization does not provide small scale detail required for an optimal solution of a complex geometry. Therefore, a second stage is used subsequently to fine-tune the geometry with respect to the objective function being optimized. By using Kriging response surface methodology to support the optimization studies, two diverse applications, a Formula One airbox and a human carotid artery bifurcation, can be concisely represented through a global parameterization followed by a local parameterization."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Automated multi-stage geometry parameterization of internal fluid flow applications"]}]}],"canonical_facts":{"dc:contributor.advisor":["Keane, A.J.","Bressloff, N.W."],"dc:creator":["Hoyle, Nicola"],"dc:date":["2006-09"],"dc:date.issued":["2006-09"],"dc:description.abstract":["The search for the most effective method for the geometric parameterization of many internal fluid flow applications is ongoing. This thesis focuses on providing a general purpose automated parameterization strategy for use in design optimization. Commercial Computer-Aided Design (CAD) software, Computational Fluid Dynamics (CFD) software and optimizer tools are brought together to offer a generic and practical solution. A multi-stage parameterization technique for three-dimensional surface manipulation is proposed. The first stage in the process defines the geometry in a global sense, allowing large scale freedom to produce a wide variety of shapes using only a small set of design variables. Invariably, optimization using a simplified global parameterization does not provide small scale detail required for an optimal solution of a complex geometry. Therefore, a second stage is used subsequently to fine-tune the geometry with respect to the objective function being optimized. 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