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        <identifier>oai:figshare.com:article/32628486</identifier>
        <datestamp>2026-10-01T17:39:47Z</datestamp>
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          <dc:title>Development of Optimisation Methodologies for the Internal Combustion Engine Airbox</dc:title>
          <dc:creator>Ciaran Branney (24162369)</dc:creator>
          <dc:subject>PUREID: 191409637</dc:subject>
          <dc:description>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.</dc:description>
          <dc:date>2026-10-01T17:39:47Z</dc:date>
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          <dc:identifier>10.17034/32628486.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/thesis/Development_of_Optimisation_Methodologies_for_the_Internal_Combustion_Engine_Airbox/32628486</dc:relation>
          <dc:rights>All Rights Reserved</dc:rights>
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