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Two-dimensional airfoil shape optimization for airfoils at low speeds

机译:低速机翼的二维机翼形状优化

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This paper presents a fast methodology for the design of two-dimensional low-speed airfoils. We propose a methodology in which the design process starts from an already known airfoil or from a new defined airfoil by imposing some basic geometrical characteristics, such as: the airfoil's radius at the leading edge, the maximum height of the airfoil's lower and upper sides, the slopes of the airfoil's defining curves at the trailing edge and the trailing edge gaps. Based on the above initial geometry the airfoil shape is further parameterized by use of Bezier or B-spline curves, the relative merit of the two types of parameterization is carefully analyzed and exemplified in the results section. The control points of the defining curves can be used to optimize the shape of the airfoil. The Xfoil flow solver was used for the aerodynamical calculations, and Matlab's fmincon was used as the optimizer. The procedure was validated by using three known airfoils from literature: NACA 0012, ONERA D and NACA 66_4-021. All three airfoils were optimized for obtaining a significantly reduced drag coefficient for a large range of angles of attack and for a fixed Mach and Reynolds numbers.
机译:本文提出了一种快速的方法,用于设计二维低速翼型。我们提出了一种方法,其中设计过程从已知的翼型或通过施加一些基本的几何特征来从新的翼型或新的限定翼型开始,例如:翼型在前缘处的翼型的半径,翼型的最大高度和上侧,翼型的斜率在后缘和后缘间隙处定义曲线。基于上述初始几何形状,通过使用Bezier或B样条曲线进一步参数化翼型形状,在结果部分中仔细分析和举例说明这两种参数化的相对优点。定义曲线的控制点可用于优化翼型的形状。 XFoil流动求解器用于空气动力学计算,Matlab的Fmincon被用作优化器。通过使用来自文献的三种已知的翼型来验证该方法:Naca 0012,Onera D和Naca 66_4-021。所有三个翼型被优化,以获得大幅度的攻击角度和固定的马赫和雷诺数的显着减小的拖曳系数。

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