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.