{"id":{"repo_id":"qu-belfast","oai_identifier":"oai:pure.qub.ac.uk/portal:studenttheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1"},"canonical_url":"https://search.dev.ndltd.org/etd/qu-belfast/oai:pure.qub.ac.uk/portal:studenttheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1","repository":{"repo_id":"qu-belfast","name":"Queen's University Belfast","base_url":"https://pureadmin.qub.ac.uk/ws/oai"},"display":{"title":"Development of Optimisation Methodologies for the Internal Combustion Engine Airbox","abstract":"The geometrical design of the airbox for an internal combustion engine has a<br/>significant effect on the pressure loss in the entire inlet tract. Due to the<br/>location of the airbox, its size and shape is usually limited as a result of the<br/>proximity to other under-bonnet features. The shape is also limited by<br/>manufacturing, assembly and NVH considerations. The complexity of the<br/>unsteady flow through the airbox and the constraints placed upon it by the<br/>available volume in the under-bonnet area make this a challenging design<br/>task.<br/><br/>This work attempts to lay the foundations for a robust optimization strategy for<br/>the design of an airbox by coupling a 3D-steady flow Computational Fluid<br/>Dynamics (CFD) model to an automatic optimization process. The objective is<br/>to formulate a strategy that can be built upon in future to encompass unsteady<br/>flow and multi-cylinder engines.<br/><br/>The work reviews the current thinking on methods used to optimize CFD<br/>problems and how this would apply to the optimization of an airbox for an<br/>internal combustion engine. The investigation then continues to detail the<br/>findings of the initial validation work on the CFD method for predicting the<br/>pressure loss through an airbox. Two simple airboxes are tested on a steady<br/>flow rig and the results compared to the CFD predictions.<br/><br/>An optimization case study is then presented based on one of the models<br/>used for the initial validation. The study compares three different optimization<br/>techniques and then validates the results by testing the optimum design found<br/>by each method. A second case study is then undertaken to further validate<br/>the results using more flexible optimization software.","abstract_html":"The geometrical design of the airbox for an internal combustion engine has a&lt;br/&gt;significant effect on the pressure loss in the entire inlet tract. Due to the&lt;br/&gt;location of the airbox, its size and shape is usually limited as a result of the&lt;br/&gt;proximity to other under-bonnet features. The shape is also limited by&lt;br/&gt;manufacturing, assembly and NVH considerations. The complexity of the&lt;br/&gt;unsteady flow through the airbox and the constraints placed upon it by the&lt;br/&gt;available volume in the under-bonnet area make this a challenging design&lt;br/&gt;task.&lt;br/&gt;&lt;br/&gt;This work attempts to lay the foundations for a robust optimization strategy for&lt;br/&gt;the design of an airbox by coupling a 3D-steady flow Computational Fluid&lt;br/&gt;Dynamics (CFD) model to an automatic optimization process. The objective is&lt;br/&gt;to formulate a strategy that can be built upon in future to encompass unsteady&lt;br/&gt;flow and multi-cylinder engines.&lt;br/&gt;&lt;br/&gt;The work reviews the current thinking on methods used to optimize CFD&lt;br/&gt;problems and how this would apply to the optimization of an airbox for an&lt;br/&gt;internal combustion engine. The investigation then continues to detail the&lt;br/&gt;findings of the initial validation work on the CFD method for predicting the&lt;br/&gt;pressure loss through an airbox. Two simple airboxes are tested on a steady&lt;br/&gt;flow rig and the results compared to the CFD predictions.&lt;br/&gt;&lt;br/&gt;An optimization case study is then presented based on one of the models&lt;br/&gt;used for the initial validation. The study compares three different optimization&lt;br/&gt;techniques and then validates the results by testing the optimum design found&lt;br/&gt;by each method. A second case study is then undertaken to further validate&lt;br/&gt;the results using more flexible optimization software.","abstract_has_math":false,"creators":["Branney, Ciaran"],"institution":"Queen's University Belfast","degree_name":"Doctor of Philosophy","degree_level":"Doctoral Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Cunningham, Geoffrey"],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009","date_published":"2009","updated_at":"2026-07-24T03:55:12Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["oai:pure.qub.ac.uk/portal:studenttheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1"],"render_values":[{"text":"oai:pure.qub.ac.uk/portal:studenttheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1","href":null,"code":true}]}]},"links":{"outbound_url":"https://pure.qub.ac.uk/en/studentTheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Cunningham, Geoffrey"]},{"key":"dc:creator","label":"Author","values":["Branney, Ciaran"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2009"]},{"key":"dc:date.issued","label":"Date","values":["2009"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["School of Mechanical and Aerospace Engineering"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["Queen's University Belfast"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://pure.qub.ac.uk/en/studentTheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Doctoral Thesis"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["Doctor of Philosophy"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["oai:pure.qub.ac.uk/portal:studenttheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1","https://pure.qub.ac.uk/en/studentTheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://pure.qub.ac.uk/files/191805462/final_Development_of_Optimisation_Methodologies_for_the_Internal_Combustion_Engine_Airbox.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The geometrical design of the airbox for an internal combustion engine has a<br/>significant effect on the pressure loss in the entire inlet tract. Due to the<br/>location of the airbox, its size and shape is usually limited as a result of the<br/>proximity to other under-bonnet features. The shape is also limited by<br/>manufacturing, assembly and NVH considerations. The complexity of the<br/>unsteady flow through the airbox and the constraints placed upon it by the<br/>available volume in the under-bonnet area make this a challenging design<br/>task.<br/><br/>This work attempts to lay the foundations for a robust optimization strategy for<br/>the design of an airbox by coupling a 3D-steady flow Computational Fluid<br/>Dynamics (CFD) model to an automatic optimization process. The objective is<br/>to formulate a strategy that can be built upon in future to encompass unsteady<br/>flow and multi-cylinder engines.<br/><br/>The work reviews the current thinking on methods used to optimize CFD<br/>problems and how this would apply to the optimization of an airbox for an<br/>internal combustion engine. The investigation then continues to detail the<br/>findings of the initial validation work on the CFD method for predicting the<br/>pressure loss through an airbox. Two simple airboxes are tested on a steady<br/>flow rig and the results compared to the CFD predictions.<br/><br/>An optimization case study is then presented based on one of the models<br/>used for the initial validation. The study compares three different optimization<br/>techniques and then validates the results by testing the optimum design found<br/>by each method. A second case study is then undertaken to further validate<br/>the results using more flexible optimization software."]},{"key":"dc:title","label":"Title","values":["Development of Optimisation Methodologies for the Internal Combustion Engine Airbox"]}]}],"canonical_facts":{"dc:contributor.advisor":["Cunningham, Geoffrey"],"dc:creator":["Branney, Ciaran"],"dc:date":["2009"],"dc:date.issued":["2009"],"dc:description.abstract":["The geometrical design of the airbox for an internal combustion engine has a<br/>significant effect on the pressure loss in the entire inlet tract. Due to the<br/>location of the airbox, its size and shape is usually limited as a result of the<br/>proximity to other under-bonnet features. The shape is also limited by<br/>manufacturing, assembly and NVH considerations. The complexity of the<br/>unsteady flow through the airbox and the constraints placed upon it by the<br/>available volume in the under-bonnet area make this a challenging design<br/>task.<br/><br/>This work attempts to lay the foundations for a robust optimization strategy for<br/>the design of an airbox by coupling a 3D-steady flow Computational Fluid<br/>Dynamics (CFD) model to an automatic optimization process. The objective is<br/>to formulate a strategy that can be built upon in future to encompass unsteady<br/>flow and multi-cylinder engines.<br/><br/>The work reviews the current thinking on methods used to optimize CFD<br/>problems and how this would apply to the optimization of an airbox for an<br/>internal combustion engine. The investigation then continues to detail the<br/>findings of the initial validation work on the CFD method for predicting the<br/>pressure loss through an airbox. Two simple airboxes are tested on a steady<br/>flow rig and the results compared to the CFD predictions.<br/><br/>An optimization case study is then presented based on one of the models<br/>used for the initial validation. The study compares three different optimization<br/>techniques and then validates the results by testing the optimum design found<br/>by each method. A second case study is then undertaken to further validate<br/>the results using more flexible optimization software."],"dc:identifier":["oai:pure.qub.ac.uk/portal:studenttheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1","https://pure.qub.ac.uk/en/studentTheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1"],"dc:identifier.uri":["https://pure.qub.ac.uk/files/191805462/final_Development_of_Optimisation_Methodologies_for_the_Internal_Combustion_Engine_Airbox.pdf"],"dc:language":["eng"],"dc:publisher.department":["School of Mechanical and Aerospace Engineering"],"dc:publisher.institution":["Queen's University Belfast"],"dc:relation.isreferencedby":["https://pure.qub.ac.uk/en/studentTheses/07c039b2-3a0f-4df8-a4ab-7ea8e498ecc1"],"dc:title":["Development of Optimisation Methodologies for the Internal Combustion Engine Airbox"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["Doctoral Thesis"],"dc:type.qualificationname":["Doctor of Philosophy"]},"updated_at":"2026-07-24T03:55:12Z"}