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自适应翼型的气动外形优化设计 被引量:3

OPTIMIZATION DESIGN OF ADAPTIVE AIRFOIL′S AERODYNAMIC SHAPE
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摘要 二维翼型自适应的研究是设计自适应机翼的基础。提出了在不同 Ma数、迎角下 ,用 Powell法优化二维翼型前、后缘襟翼的偏转角 ,以获得比常规翼型在亚声速时升阻比大而在超声速时阻力系数小的自适应翼型的研究方案。并与原始翼型以及气动双目标 (亚声速时 ,大升阻比 ;超声速时 ,小阻力系数 )的优化翼型进行了比较 ,证明了自适应翼型比气动双目标的优化翼型气动效率更高。初步探讨了二维翼型前、后缘襟翼的偏转位置对气动效率的影响。 Researching the adaptation of airfoil lays the foundation for designing adaptive wings. Powell method is used to optimize deflection angles of leading and trailing flaps of an airfoil at various Mach numbers and angles of attack.Thus, an adaptive airfoil is obtained whose lift drag ratio at subsonic speed is larger and drag coefficient at supersonic speed is smaller than the baseline airfoil's. The aerodynamic performance of the adaptive aerofoil is compared with that of original airfoil and bi objective optimization airfoil (large lift drag ratio at subsonic speed and small drag coefficient at supersonic speed). It is shown that aerodynamic efficiency of an adaptive airfoil is higher than that of a bi objective optimization airfoil. The influence of airfoil's leading and trailing flaps' deflection location on aerodynamic efficiency is also discussed primarily.
出处 《航空学报》 EI CAS CSCD 北大核心 2002年第4期289-293,共5页 Acta Aeronautica et Astronautica Sinica
基金 航空科学基金 (A5 10 0 4) 国家自然科学基金 (19972 0 0 7)资助项目
关键词 自适应翼型 气动外形 优化设计 机翼 adaptive aerofoil bi objective optimization aerofoil numerical optimization
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参考文献3

  • 1徐光.高新技术与空军作战(第二版)[M].北京:空军指挥学院,2000.135-137.
  • 2吁日新.多目标/多学科优化方法的研究[M].北京:北京航空航天大学,2002..
  • 3李海明.二维双学科(气动/隐身)优化方法的研究[M].北京:北京航空航天大学,2000..

同被引文献50

  • 1高清,张卫民,陈英文.新一代超/高超声速带进气道飞行器气动力特性快速计算[J].宇航学报,2008,29(2):494-498. 被引量:3
  • 2刘航,朱自强,付鸿雁,吁日新.自适应与双目标优化机翼的气动特性比较[J].北京航空航天大学学报,2004,30(5):461-465. 被引量:2
  • 3穆国旺,臧婷,赵罡.基于小波的B样条曲线局部光顺算法[J].工程图学学报,2006,27(2):84-89. 被引量:7
  • 4Wang X, Damodaran M. Aerodynamic shape optimization using computational fluid dynamics and parallel simulated annealing algorithms. AIAA Journal, 2001, 39(8):1500~1508.
  • 5Pandya M J, Baysal O. Gradient-based aerodynamic shape optimization using alternating direction implicit method.Journal of Aircraft, 1997, 34(3): 346~352.
  • 6Newman JC, Taylor AC, Barnwell RW, et al. Overview of sensitivity analysis and shape optimization for complex aerodynamic configurations. Journal of Aircraft, 1999,36(1): 87~96.
  • 7Takahashi S, Obayashi S, Nakahashi K. Inverse design optimization of transonic wings based on multi-objective genetic algorithms. AIAA Journal, 1999, 37(12): 1656~1662.
  • 8Wang X, Damodaran M, Lee SL. Inverse transonic airfoil design using parallel simulated annealing and computational fluid dynamics. AIAA Journal, 2002, 40(4):791~794.
  • 9Dulicravich GS. Aerodynamic shape inverse design methods, in: Sobieczky H ed. New Design Concepts for High Speed Air Transport. New York: Springer, 1997. 159~172.
  • 10Obayashi S. Pareto genetic algorithm for aerodynamic design using the Navier-Stokes equations. Genetic Algorithms and Evolution Strategy in Engineering and Computer Science, John Wiley & Sons, Ltd, Chichester, UK,1998. 245~266.

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