Multi-objective aerodynamic optimization of sweptwing

Ling Tao Meng; Li Liu; Teng Long; Hua Guang Zhu

Multi-objective aerodynamic optimization of sweptwing

Ling Tao Meng^*, Li Liu, Teng Long, Hua Guang Zhu

^*此作品的通讯作者

宇航学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Taking sweptwing as example of aerodynamic optimization, integration framework of aerodynamic was built based on Model Center software with VB program, CAD, CFD software and genetic algorithm. Two kinds of optimization projects, Multi-objective Genetic Algorithm associate with three-dimensional CFD and response surface models (RSM) respectively, were used in the optimization process. The result of two projects associating with analysis of flow field demonstrates feasibility and robustness of those projects for aerodynamic optimization design and integration framework.

源语言	英语
页（从-至）	1033-1036+1039
期刊	Xitong Fangzhen Xuebao / Journal of System Simulation
卷	21
期	4
出版状态	已出版 - 20 2月 2009

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abstract = "Taking sweptwing as example of aerodynamic optimization, integration framework of aerodynamic was built based on Model Center software with VB program, CAD, CFD software and genetic algorithm. Two kinds of optimization projects, Multi-objective Genetic Algorithm associate with three-dimensional CFD and response surface models (RSM) respectively, were used in the optimization process. The result of two projects associating with analysis of flow field demonstrates feasibility and robustness of those projects for aerodynamic optimization design and integration framework.",

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AU - Liu, Li

AU - Long, Teng

AU - Zhu, Hua Guang

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N2 - Taking sweptwing as example of aerodynamic optimization, integration framework of aerodynamic was built based on Model Center software with VB program, CAD, CFD software and genetic algorithm. Two kinds of optimization projects, Multi-objective Genetic Algorithm associate with three-dimensional CFD and response surface models (RSM) respectively, were used in the optimization process. The result of two projects associating with analysis of flow field demonstrates feasibility and robustness of those projects for aerodynamic optimization design and integration framework.

AB - Taking sweptwing as example of aerodynamic optimization, integration framework of aerodynamic was built based on Model Center software with VB program, CAD, CFD software and genetic algorithm. Two kinds of optimization projects, Multi-objective Genetic Algorithm associate with three-dimensional CFD and response surface models (RSM) respectively, were used in the optimization process. The result of two projects associating with analysis of flow field demonstrates feasibility and robustness of those projects for aerodynamic optimization design and integration framework.

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KW - Genetic algorithm

KW - Integration framework

KW - Multi-objective aerodynamic optimization design

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Multi-objective aerodynamic optimization of sweptwing

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