Multi-point aerodynamic design optimization for compressor cascade airfoils

Dong Hai Jin; Jia Chen; Xing Min Gui

Multi-point aerodynamic design optimization for compressor cascade airfoils

Dong Hai Jin^*
, Jia Chen
, Xing Min Gui

^*Corresponding author for this work

School of Energy and Power Engineering

Beihang University

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

A multi-point genetic algorithm (GA) has been developed by introducing Pareto ranking and fitness-sharing techniques. The algorithm coupled with NUMECA/Igg and Fine software packages is used to optimize a NACA cascade airfoil at different points of attack angles simultaneously. The multi-point optimization results show that the platform developed is effective and efficient in multi-point aerodynamic design optimization applications.

Original language	English
Pages (from-to)	367-372
Number of pages	6
Journal	Tuijin Jishu/Journal of Propulsion Technology
Volume	28
Issue number	4
State	Published - Aug 2007

Keywords

Cascade
Compressor
Genetic algorithm
Optimum design

Cite this

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title = "Multi-point aerodynamic design optimization for compressor cascade airfoils",

abstract = "A multi-point genetic algorithm (GA) has been developed by introducing Pareto ranking and fitness-sharing techniques. The algorithm coupled with NUMECA/Igg and Fine software packages is used to optimize a NACA cascade airfoil at different points of attack angles simultaneously. The multi-point optimization results show that the platform developed is effective and efficient in multi-point aerodynamic design optimization applications.",

keywords = "Cascade, Compressor, Genetic algorithm, Optimum design",

author = "Jin, \{Dong Hai\} and Jia Chen and Gui, \{Xing Min\}",

year = "2007",

month = aug,

language = "英语",

volume = "28",

pages = "367--372",

journal = "Tuijin Jishu/Journal of Propulsion Technology",

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publisher = "China Aerospace Science and Industry Corp",

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T1 - Multi-point aerodynamic design optimization for compressor cascade airfoils

AU - Jin, Dong Hai

AU - Chen, Jia

AU - Gui, Xing Min

PY - 2007/8

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N2 - A multi-point genetic algorithm (GA) has been developed by introducing Pareto ranking and fitness-sharing techniques. The algorithm coupled with NUMECA/Igg and Fine software packages is used to optimize a NACA cascade airfoil at different points of attack angles simultaneously. The multi-point optimization results show that the platform developed is effective and efficient in multi-point aerodynamic design optimization applications.

AB - A multi-point genetic algorithm (GA) has been developed by introducing Pareto ranking and fitness-sharing techniques. The algorithm coupled with NUMECA/Igg and Fine software packages is used to optimize a NACA cascade airfoil at different points of attack angles simultaneously. The multi-point optimization results show that the platform developed is effective and efficient in multi-point aerodynamic design optimization applications.

KW - Cascade

KW - Compressor

KW - Genetic algorithm

KW - Optimum design

UR - https://www.scopus.com/pages/publications/34648829081

M3 - 文章

AN - SCOPUS:34648829081

SN - 1001-4055

VL - 28

SP - 367

EP - 372

JO - Tuijin Jishu/Journal of Propulsion Technology

JF - Tuijin Jishu/Journal of Propulsion Technology

IS - 4

ER -

Multi-point aerodynamic design optimization for compressor cascade airfoils

Abstract

Keywords

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