摘要
针对传统基于代理模型的翼型优化的缺陷,提出采用基于动网格的翼型优化;针对基本Hicks-Henne方法后缘不光滑情况进行了改进;采用自编程序实现动网格生成,通过集成商业软件Pointwise和CFD计算软件Fluent完成边界条件生成和流场解算,并实现上述程序和软件间的数据交互和自动化,整个优化流程在iSIGHT平台下执行,优化算例表明基于动网格的翼型优化方法能大幅提高翼型性能,节省大量的重复性操作,增加优化结果的鲁棒性和可信度,是翼型优化中的一种有效方法。
According to the drawbacks of traditional surrogate model based airfoil optimization, dynamic mesh based airfoil design optimization was studied. Hicks-Henne parameterization method was improved against the drawbacks of unsmooth tailing edge, which was subsequently utilized for the construction of airfoil dynamic mesh. Commercial software Pointwise and Fluent were integrated by secondary development, which automates the adding boundary condition and CFD calculation. The data flows and work flows between commercial software and programs were realized under iSIGHT platform. An airfoil optimization case study shows that the method can significantly improve aerodynamic performance of airfoils, and save massive repeat operations, which is verified an effective and high efficient method of airfoil design optimization.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2013年第2期1-6,共6页
Journal of National University of Defense Technology
基金
国家863计划资助项目
国防科技大学科研计划资助项目(JC12-01-05)
关键词
无人机
动网格
翼型优化
CFD
遗传算法
unmanned air vehicles
dynamic mesh
airfoil optimization
CFD
genetic algorithm
