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Dissertation/Thesis Abstract

Optimization and analysis of a CFJ-airfoil using adaptive meta-model based design optimization
by Whitlock, Michael D., M.S., California State University, Long Beach, 2015, 82; 1598660
Abstract (Summary)

Although strong potential for Co-Flow Jet (CFJ) flow separation control system has been demonstrated in existing literature, there has been little effort applied towards the optimization of the design for a given application. The high dimensional design space makes any optimization computationally intensive. This work presents the optimization of a CFJ airfoil as applied to a low Reynolds Number regimen using meta-model based design optimization (MBDO). The approach consists of computational fluid dynamics (CFD) analysis coupled with a surrogate model derived using Kriging. A genetic algorithm (GA) is then used to perform optimization on the efficient surrogate model. MBDO was shown to be an effective and efficient approach to solving the CFJ design problem. The final solution set was found to decrease drag by 100% while increasing lift by 42%. When validated, the final solution was found to be within one standard deviation of the CFD model it was representing.

Indexing (document details)
Advisor: Chen, Hsun
Commitee: Chen, Hsin-Piao, Schmitz, Adeline
School: California State University, Long Beach
Department: Mechanical and Aerospace Engineering
School Location: United States -- California
Source: MAI 55/01M(E), Masters Abstracts International
Subjects: Aerospace engineering
Publication Number: 1598660
ISBN: 978-1-339-03902-2
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