计算物理 ›› 2016, Vol. 33 ›› Issue (3): 283-296.

• 研究论文 • 上一篇    下一篇

跨音速自然层流翼型多目标优化设计

陈永彬, 唐智礼, 盛建达   

  1. 南京航空航天大学航空宇航学院空气动力学系, 江苏 南京 210016
  • 收稿日期:2015-04-27 修回日期:2015-07-01 出版日期:2016-05-25 发布日期:2016-05-25
  • 作者简介:陈永彬(1987-),男,博士研究生,主要从事飞行器气动优化设计,E-mail:chenyongbinfly@126.com
  • 基金资助:
    国家自然科学基金(11272149),装备预研基金及江苏高校优势学科建设工程资助项目

Multi-Objective Optimization for Natural Laminar Flow Airfoil in Transonic Flow

CHEN Yongbin, TANG Zhili, SHENG Jianda   

  1. College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2015-04-27 Revised:2015-07-01 Online:2016-05-25 Published:2016-05-25

摘要: 应用多目标优化方法在推迟翼型转捩位置的同时,优化激波控制鼓包的位置和外形来减小波阻.经过优化得到多目标问题的Pareto阵面解,通过对其上翼型的气动性能分析发现:优化后翼型的层流区域及激波强度较初始翼型均有改善.结果表明本文方法可以有效地解决层流翼型设计过程中转捩位置和激波强度之间的矛盾.

关键词: 自然层流翼型, 转捩预测, 激波控制, 多目标优化, Pareto阵面

Abstract: Multi-objective genetic algorithms are implemented to optimize airfoil shape for obtaining greater laminar range and weaker shock wave drag simultaneously by using a shock control bump. Non dominated solutions of this two-objective optimization problem indicate that aerodynamic performances of airfoils trade-off between delay of profile's transition location and increased intensity of shock wave due the bump installed at upper surface of airfoil.

Key words: natural laminar flow airfoil, transition prediction, shock wave control, multi-objective optimization, Pareto front

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