低雷诺数翼型的气动外形优化设计  

Aerodynamic Shape Optimization Design of Low Reynolds Number Airfoil

作　　者：张增海 谢军龙[2] ZHANG Zenghai;XIE Junlong(China-EU Institute for Clean and Renewable Energy,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China;Energy and Power Engineering Institute,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China)

机构地区：[1]华中科技大学中欧清洁与可再生能源学院,湖北武汉430074 [2]华中科技大学能源与动力工程学院,湖北武汉430074

出　　处：《能源与节能》2020年第3期50-52,59,共4页Energy and Energy Conservation

摘　　要：在雷诺数Re=3×10^5条件下,利用遗传算法对翼型S826进行了气动外形优化设计。优化过程中,为了防止尾缘厚度太小,缩小了影响尾缘厚度参数的变化范围,降低了局部的优化幅度。结果显示,优化后的翼型,最佳升阻比提升了约9.9%,气动性有了明显的改善,且优化翼型尾缘厚度基本没有变薄,保证了工程的实用性,说明了利用遗传算法进行低雷诺数翼型气动外形优化的可行性。Under the condition of Re=3×10^5,the aerodynamic shape optimization of S826 airfoil was carried out by using genetic algorithm.In the process of optimization,in order to prevent the thickness of the trailing edge from being too small,the range of parameters affecting the thickness of the trailing edge was reduced,and the local optimization range was reduced.The results show that the optimal lift drag ratio of the optimized airfoil is increased by about 9.9%,the aerodynamic performance is improved obviously,and the thickness of the trailing edge of the optimized airfoil is basically not thinner,which ensures the practicability of the project,and shows the feasibility of using genetic algorithm to optimize the aerodynamic shape of low Reynolds number airfoil.

关 键 词：遗传算法 翼型 气动特性 尾缘厚度 

分 类 号：TK89[动力工程及工程热物理—流体机械及工程]