Turbine Airfoil Optimization Using Quasi-3D Analysis Codes

A new approach to optimize the geometry of a turbine airfoil by simultaneously designing multiple 2D sections of the airfoil is presented in this paper. The complexity of 3D geometry modeling is circumvented by generating multiple 2D airfoil sections and constraining their geometry in the radial dir...

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Main Author: Sanjay Goel
Format: Article
Language:English
Published: Wiley 2009-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2009/531358
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author Sanjay Goel
author_facet Sanjay Goel
author_sort Sanjay Goel
collection DOAJ
description A new approach to optimize the geometry of a turbine airfoil by simultaneously designing multiple 2D sections of the airfoil is presented in this paper. The complexity of 3D geometry modeling is circumvented by generating multiple 2D airfoil sections and constraining their geometry in the radial direction using first- and second-order polynomials that ensure smoothness in the radial direction. The flow fields of candidate geometries obtained during optimization are evaluated using a quasi-3D, inviscid, CFD analysis code. An inviscid flow solver is used to reduce the execution time of the analysis. Multiple evaluation criteria based on the Mach number profile obtained from the analysis of each airfoil cross-section are used for computing a quality metric. A key contribution of the paper is the development of metrics that emulate the perception of the human designer in visually evaluating the Mach Number distribution. A mathematical representation of the evaluation criteria coupled with a parametric geometry generator enables the use of formal optimization techniques in the design. The proposed approach is implemented in the optimal design of a low-pressure turbine nozzle.
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institution Kabale University
issn 1687-5966
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publishDate 2009-01-01
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series International Journal of Aerospace Engineering
spelling doaj-art-d9ab1a6d531c419c939345ee428d20502025-02-03T06:13:23ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742009-01-01200910.1155/2009/531358531358Turbine Airfoil Optimization Using Quasi-3D Analysis CodesSanjay Goel0University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USAA new approach to optimize the geometry of a turbine airfoil by simultaneously designing multiple 2D sections of the airfoil is presented in this paper. The complexity of 3D geometry modeling is circumvented by generating multiple 2D airfoil sections and constraining their geometry in the radial direction using first- and second-order polynomials that ensure smoothness in the radial direction. The flow fields of candidate geometries obtained during optimization are evaluated using a quasi-3D, inviscid, CFD analysis code. An inviscid flow solver is used to reduce the execution time of the analysis. Multiple evaluation criteria based on the Mach number profile obtained from the analysis of each airfoil cross-section are used for computing a quality metric. A key contribution of the paper is the development of metrics that emulate the perception of the human designer in visually evaluating the Mach Number distribution. A mathematical representation of the evaluation criteria coupled with a parametric geometry generator enables the use of formal optimization techniques in the design. The proposed approach is implemented in the optimal design of a low-pressure turbine nozzle.http://dx.doi.org/10.1155/2009/531358
spellingShingle Sanjay Goel
Turbine Airfoil Optimization Using Quasi-3D Analysis Codes
International Journal of Aerospace Engineering
title Turbine Airfoil Optimization Using Quasi-3D Analysis Codes
title_full Turbine Airfoil Optimization Using Quasi-3D Analysis Codes
title_fullStr Turbine Airfoil Optimization Using Quasi-3D Analysis Codes
title_full_unstemmed Turbine Airfoil Optimization Using Quasi-3D Analysis Codes
title_short Turbine Airfoil Optimization Using Quasi-3D Analysis Codes
title_sort turbine airfoil optimization using quasi 3d analysis codes
url http://dx.doi.org/10.1155/2009/531358
work_keys_str_mv AT sanjaygoel turbineairfoiloptimizationusingquasi3danalysiscodes