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翼型气动优化设计的核心在于快速、准确的流动性能分析与快速、可靠的寻优算法。本文提出通过控制翼型表面预期流动分布,应用气动反问题方法,求解性能优化的翼型气动设计新方法。本文的翼型流动分析是基于位势流动与边界层积分方程的迭代解法。气动参数寻优采用了基于多变量搜索的加速POWELL算法,在确定的参数空间内,遍历搜索最佳性能点,可以保证最终优化解的全局性。气动反问题求解采用了壁面“喷吸气”模型。计算案例表明,本文方法的计算时间少,在流动不分离时具有与RANS同等计算精度,为快速开发低速风力机翼型提供了一个有效的设计方法。

The core components of airfoil aerodynamic design and optimization system are fast and accurate flow analyzer together with fast and robust optimizer. This paper presents a novel airfoil aerodynamic design method which is formulated as inverse flow problem and solved through controlling prescribed surface pressure profile. Flow over airfoil is solved by inviscid potential flow method iterated with boundary layer integral equations. Optimal pressure distribution is searched with multi-variable POWELL algorithm. Within prescribed design space, it is thoroughly searched for overall optimal solution. Inverse aerodynamic problem is resolved via "transpiration" model. Computation samples show that less calculation time is used while solution has equivalent accuracy as RANS calculation. It can serve as an effective design tool for low speed wind turbine airfoils.

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