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A Computational Procedure to Improve Airfoil Performance Considering Shape and Flow Interactions

机译:考虑形状和流动相互作用改善翼型性能的计算过程

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Despite remarkable progress in shape design issue, there is still room to work on this topic considering different flow field conditions and specific aerodynamic applications.Today,the optimization techniques are known as a major tool to reach the best possible aero- dynamic shape for some specified conditions.In general direct optimization techniques,the optimization process is started from choosing a suitable primitive shape and the shape is improved by suitable considerations of the design objectives and constraints.In a similar attempt,we develop a new optimization strategy to improve the airfoil shape for specific applications. The strategy involves several stages.It includes to determine the flow conditions and design parameters, to establish the objective function,to select a suitable primitive shape,to generate a mechanism for inserting gradual shape changes,to generate grids around each defined shape,to solve the flow field for each separate shape,to collect the solution data,to change the discrete data to the continuous distribution functions, to construct the objective function,and to minimize the objective function using the steepest descent approach.No constraint function is incorporated into the constructed objective function.The cruise flight of an aircraft at an specified altitude is supposed to be the flow field conditions around the proposed airfoil.Nevertheless,the flow field is assumed to be viscous and compressible as well as turbulent.The procedure is tested starting from two generic airfoil shapes with and without camber.The developed algorithm works well for both cases;however,it may not converge to identi- cal shapes if the primitive shapes are not identical.
机译:尽管在形状设计问题方面取得了显着进展,但考虑到不同的流场条件和特定的空气动力学应用程序,仍有余下的余地.Today,优化技术被称为达到一些指定的最佳Aero动态形状的主要工具条件。一般直接优化技术,优化过程开始从选择合适的原始形状,通过适当考虑的设计目标和约束来改善形状。在类似的尝试中,我们开发了一种新的优化策略来改善翼型形状的新优化策略对于特定应用程序。该策略涉及几个阶段。包括确定流动条件和设计参数,建立目标函数,选择合适的原始形状,生成用于插入渐变形状的机制,以产生围绕每个定义的形状的网格,来解决用于每个单独的形状的流场,要收集解决方案数据,将离散数据更改为连续分布功能,构造目标函数,并使用速度下降方法最小化目标函数。将不约束函数结合到构造的目标函数。在特定高度的飞行器的巡航飞行应该是所提出的翼型围绕的流场条件。无论如何,假设流场是粘性和可压缩的以及湍流。该过程从两个通用翼型的形状,没有露珠。发达的算法适用于这两种情况;但是,它可能不会有效如果原始形状不相同,则禁止形状。

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