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Single and multi‐point optimization of an airfoil using gradient method

Single and multi‐point optimization of an airfoil using gradient method Purpose – This paper's purpose is to deal with single point and multipoint optimization of an airfoil. The aim of the paper is to discuss optimization in several design points (multipoint optimization) and compare the results with those of optimization at a specified design point. Design/methodology/approach – A gradient‐based method is adopted for optimization and the flow is governed by two dimensional, compressible Euler equations. A finite volume code based on unstructured grid is developed to solve the equations. Findings – Two test cases are studied for an airfoil with initial profile of NACA0012, with two types of design variables. And at the end a multi‐point case is presented. Originality/value – The advantage of this technique over the other gradient‐based methods is its high‐convergence rate. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Aircraft Engineering and Aerospace Technology Emerald Publishing

Single and multi‐point optimization of an airfoil using gradient method

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References (21)

Publisher
Emerald Publishing
Copyright
Copyright © 2007 Emerald Group Publishing Limited. All rights reserved.
ISSN
0002-2667
DOI
10.1108/00022660710829809
Publisher site
See Article on Publisher Site

Abstract

Purpose – This paper's purpose is to deal with single point and multipoint optimization of an airfoil. The aim of the paper is to discuss optimization in several design points (multipoint optimization) and compare the results with those of optimization at a specified design point. Design/methodology/approach – A gradient‐based method is adopted for optimization and the flow is governed by two dimensional, compressible Euler equations. A finite volume code based on unstructured grid is developed to solve the equations. Findings – Two test cases are studied for an airfoil with initial profile of NACA0012, with two types of design variables. And at the end a multi‐point case is presented. Originality/value – The advantage of this technique over the other gradient‐based methods is its high‐convergence rate.

Journal

Aircraft Engineering and Aerospace TechnologyEmerald Publishing

Published: Oct 30, 2007

Keywords: Optimization techniques; Design; Variance; Aerospace engineering

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