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

^*此作品的通讯作者

能源与动力工程学院

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

10 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	367-372
页数	6
期刊	Tuijin Jishu/Journal of Propulsion Technology
卷	28
期	4
出版状态	已出版 - 8月 2007

其它文件与链接

链接到 Scopus 的出版物

引用此

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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",

number = "4",

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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

Y1 - 2007/8

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

摘要

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