Multidisciplinary design optimization of adaptive wing leading edge

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• 作者：RuJie Sun (1)
  GuoPing Chen (1)
  Chen Zhou (2)
  LanWei Zhou (1)
  JinHui Jiang (1)
  
• 关键词：adaptive wing ; multidisciplinary design optimization ; aerodynamic optimization ; structural optimization ; genetic algorithm
• 刊名：SCIENCE CHINA Technological Sciences
• 出版年：2013
• 出版时间：July 2013
• 年：2013
• 卷：56
• 期：7
• 页码：1790-1797
• 全文大小：869KB
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• 作者单位：RuJie Sun (1)
  GuoPing Chen (1)
  Chen Zhou (2)
  LanWei Zhou (1)
  JinHui Jiang (1)
  
  1. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China
  2. Key Laboratory of Fundamental Science for National Defense—Advanced Design Technology of Flight Vehicle, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China
  
• ISSN：1869-1900

文摘

Adaptive wing can significantly enhance aircraft aerodynamic performance, which refers to aerodynamic and structural optimization designs. This paper introduces a two-step approach to solve the interrelated problems of the adaptive leading edge. In the first step, the procedure of airfoil optimization is carried out with an initial configuration of NACA 0006. On the basis of the combination of design of experiment (DOE), response surface method (RSM) and genetic algorithm (GA), an adaptive airfoil can be obtained whose lift-to-drag ratio is larger than the baseline airfoil’s at the given angle of attack and subsonic speed. The next step is to design a compliant structure to achieve the target airfoil shape, which is the optimization result of the previous step. In order to minimize the deviation of the deformed shape from the target shape, the load path representation topology method is presented. This method is developed by way of GA, with size and shape optimization incorporated in it simultaneously. Finally, a comparison study with the Solid Isotropic Material with Penalization (SIMP) method in Altair OptiStruct is conducted, and the results demonstrate the validity and effectiveness of the proposed approach.