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A Geometric Comparison of Aerofoil Shape Parameterisation Methods

机译:机翼形状参数化方法的几何比较

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A comprehensive review of aerofoil shape parameterisation methods that can be used for aerodynamic shape optimisation is presented. Seven parameterisation methods are considered for a range of design variables: class function/shape function transformations (CST); B-Splines; Hicks-Henne bump functions; a domain element approach using Radial Basis functions (RBF); Bezier surfaces; a singular value decomposition modal extraction method (SVD); and the PARSEC method. Due to the large range of variables involved the most effective way to implement each method is first investigated. Their performance is then analysed by considering the geometric shape recovery of over 2000 aerofoils using a range of design variables, testing the efficiency of design space coverage with respect to a given tolerance. It is shown that, for all the methods, between 20 and 25 design variables are needed to cover the full design space to within a geometric tolerance with the SVD method doing this most efficiently. A more detailed study is presented for three aerofoils, RAE2822, ONERA M6 (D section) and NACA4412 with geometric error and convergence of the resulting aerodynamic properties explored. The case study results give insight into the rate at which the aerodynamic properties converge relative to the geometric design variables and suggests that the geometric tolerance may not always be a sufficient condition to guarantee convergence of these properties.
机译:介绍了可用于空气动力学形状优化的翼型参数化方法的全面综述。对于一系列设计变量,考虑了七种参数化方法:类函数/形状函数转换(CST);模型函数转换。 B样条; Hicks-Henne碰碰功能;使用径向基函数(RBF)的域元素方法;贝塞尔曲面;奇异值分解模态提取方法(SVD);和PARSEC方法。由于涉及的变量范围很大,因此首先研究了实现每种方法的最有效方法。然后,通过使用一系列设计变量考虑2000多个翼型的几何形状恢复,并根据给定的公差测试设计空间覆盖的效率,来分析其性能。结果表明,对于所有方法,需要使用20到25个设计变量才能将整个设计空间覆盖到几何公差之内,而SVD方法最有效地做到了这一点。对三种翼型,RAE2822,ONERA M6(D部分)和NACA4412进行了更详细的研究,并探讨了几何误差和所产生的空气动力学特性的收敛性。案例研究结果深入了解了空气动力学特性相对于几何设计变量的收敛速度,并表明几何公差可能并非始终是保证这些特性收敛的充分条件。

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