| 基于动网格的翼型设计优化 |
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| 引用本文： | 朱雄峰,郭正,侯中喜,陈学孔.基于动网格的翼型设计优化[J].国防科技大学学报,2013,35(2):1-6. |
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| 作者姓名： | 朱雄峰 郭正 侯中喜 陈学孔 |
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| 作者单位： | 国防科技大学 航天科学与工程学院，湖南 长沙 410073;国防科技大学 航天科学与工程学院，湖南 长沙 410073;国防科技大学 航天科学与工程学院，湖南 长沙 410073;国防科技大学 航天科学与工程学院，湖南 长沙 410073 |
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| 基金项目： | 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） |
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| 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。
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| 关 键 词： | 无人机 动网格 翼型优化 CFD 遗传算法 |
| 收稿时间： | 2012/9/30 0:00:00 |
| 修稿时间： | 3/7/2013 12:00:00 AM |
Dynamic mesh based airfoil design optimization |
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| ZHU Xiongfeng,GUO Zheng,HOU Zhongxi and CHEN Xuekong.Dynamic mesh based airfoil design optimization[J].Journal of National University of Defense Technology,2013,35(2):1-6. |
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| Authors: | ZHU Xiongfeng GUO Zheng HOU Zhongxi and CHEN Xuekong |
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| Institution: | College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China;College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China;College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China;College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China |
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| Abstract: | According to the drawbacks of traditional surrogate model based airfoil optimization, dynamic mesh based airfoil design optimization is studied in this paper. Hicks-Henne parameterization method is improved against the drawback of unsmooth tailing edge, which is subsequently utilized for the construction of airfoil dynamic mesh. Commercial software Pointwise and Fluent are integrated by secondary development, which automates the adding boundary condition and CFD calculation. The data flows and work flows between commercial software and programs are realized under iSIGHT platform. An airfoil optimization case study shows 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. |
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| Keywords: | unmanned air vehicles dynamic mesh airfoil optimization CFD genetic algorithm |
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