This paper presents an application of applying Grid computing technologies in the field of engineeringdesign optimisation using computational fluid dynamics (CFD). Three essential elements in CFD-based shape optimisation problems (CAD, mesh generation, and solution) are integrated and automated within the Matlab scripting environment augmented with Grid-enabled computation and database toolkits in the form of Matlab functions. The toolkits allow easy access to remote computational resources and data archive capabilities. A design search and optimisation package is exposed to Matlab users in various ways and applied to an engine nacelle shape optimisation problem. A response surface model is constructed and searches conducted on it reveal the effect of negative scarf angle on the aerodynamic performance of the nacelle.
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