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Automated multi-stage geometry parameterization of internal fluid flow applications

Automated multi-stage geometry parameterization of internal fluid flow applications
Automated multi-stage geometry parameterization of internal fluid flow applications
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.
Hoyle, Nicola
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Hoyle, Nicola
b690ebdc-6346-4d26-ad92-3845a11d9225
Keane, A.J.
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Bressloff, N.W.
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Hoyle, Nicola (2006) Automated multi-stage geometry parameterization of internal fluid flow applications. University of Southampton, School of Electronics and Computer Science, Doctoral Thesis, 238pp.

Record type: Thesis (Doctoral)

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.

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More information

Published date: September 2006
Organisations: University of Southampton

Identifiers

Local EPrints ID: 72028
URI: http://eprints.soton.ac.uk/id/eprint/72028
PURE UUID: e40ce238-7ab2-404a-a743-439679d9bf95
ORCID for A.J. Keane: ORCID iD orcid.org/0000-0001-7993-1569

Catalogue record

Date deposited: 15 Jan 2010
Last modified: 14 Mar 2024 02:39

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Contributors

Author: Nicola Hoyle
Thesis advisor: A.J. Keane ORCID iD
Thesis advisor: N.W. Bressloff

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