Supervised by: China Aerospace Science and Technology Corporation
Sponsored by: China Academy of Aerospace Aerodynamics
Chinese Society of Astronautics
China Aerospace Publishing House Co., LTD
WANG Shun-shun, GUO Zheng. Low Speed Airfoil Optimization Based on Evolutionary Algorithm and Composite Parameterization Method[J]. PHYSICS OF GASES, 2022, 7(5): 63-70. DOI: 10.19527/j.cnki.2096-1642.0974
Citation: WANG Shun-shun, GUO Zheng. Low Speed Airfoil Optimization Based on Evolutionary Algorithm and Composite Parameterization Method[J]. PHYSICS OF GASES, 2022, 7(5): 63-70. DOI: 10.19527/j.cnki.2096-1642.0974

Low Speed Airfoil Optimization Based on Evolutionary Algorithm and Composite Parameterization Method

  • The aerodynamic characteristic of airfoil at 2° and 8° angles of attack in Re=1×106 was comprehensively optimized to improve its performance during cruising, take-off and landing. Firstly, the airfoil was preliminarily optimized by using the aerodynamic calculation software Xfoil with NACA four-digit parameterization method to reduce the optimization space and the amount of calculation. Then, the Reynolds-averaged Navier-Stokes equations were solved for precise optimization. After that, the Hicks-Henne shape function was used to perfect the details of the airfoil surface, which makes up for the lack of detail performance of NACA four-digit parameterization method. The results show that the aerodynamic performance is generally improved by more than 20% at 2° and 8° angles of attack, and a multi-objective and multi-step aerodynamic optimization method with composite parameterization is developed.
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