Aerodynamic optimization of 3D wing based on iSIGHT

被引：11
|
作者：
Yin Bo [2 ]
Xu Dian [1 ]
An Yi-ran [1 ]
Chen Yao-song [1 ]
机构：
[1] Peking Univ, Coll Engn, Beijing 100871, Peoples R China
[2] Tsinghua Univ, Dept Mech Engn, Beijing 100084, Peoples R China
来源：
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION | 2008年 / 29卷 / 05期
关键词：
aerodynamics computation; multi-objective optimization; genetic algorithm; three-dimensional wing;
D O I：
10.1007/s10483-008-0505-y
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A method for combining the CFD software, Fluent, with the iSIGHT design platform is presented to optimize a three-dimensional wing to ameliorate its aerodynamics performance. In the optimization design, two kinds of genetic algorithms, the Neighborhood Cultivation Genetic Algorithm (NCGA) and the Non-dominated Sorting Genetic Algorithm (NSGAII), are employed and the Navier-Stoke (N-S) equations are adopted to derive the aerodynamics functions of the 3D wing. The aerodynamic performance of the optimized wing has been significantly improved, which shows that the approach can be extended and employed in other cases.
引用
收藏
页码：603 / 610
页数：8
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