CFD Validation for High Lift Devices : Three-Element Airfoil
CFD Validation for High Lift Devices : Three-Element Airfoil
复制标题
高升力装置的 CFD 验证：三元件翼型
DOI：
10.2322/tjsass.49.40
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
M. Murayama
中科院分区：
文献类型：
--
作者：
M. Murayama
在本研究中，评估了结构化和非结构化网格 CFD 代码在模拟三元高升力配置（缝翼、主翼和襟翼）周围流动时的准确性，并研究了网格依赖性和湍流模型的影响。在研究的第一部分中，对使用相同湍流模型的两个结构化网格 CFD 代码和一个非结构化网格 CFD 代码的结果进行了比较和讨论。网格细化方法还用于检查数值精度对非结构化网格密度的依赖性。通过在非结构化网格中正确分布网格点，可以获得流动物理的细节。同时也表明板条湾涡流的定量预测是影响精度的重要因素。在研究的第二部分中，使用一种结构化网格 CFD 代码对三种湍流模型进行了比较。所有湍流模型都可以产生类似的流场。然而，在不同的区域中，特别是在板条湾中，存在一些差异。常用的湍流模型，Spalart-Allmaras 模型和 Menter’s SST 模型，在较低迎角下产生类似的空气动力。在较高攻角下，SST 模型可为当前计算提供更好的结果。研究发现，最大升力和失速发生的角度对湍流模型非常敏感。
In this study, the accuracy of structured and unstructured mesh CFD codes in simulating the flow around a three-element high-lift configuration (slat, main wing, and flap) is assessed, and mesh dependency and effect of turbulence models are studied. In the first part of the study, the results of two structured mesh CFD codes and an unstructured mesh CFD code using the same turbulence model are compared and discussed. A mesh refinement approach is also used to examine the dependency of numerical accuracy on the density of unstructured meshes. By properly distributing mesh points in an unstructured mesh, the detail in flow physics is obtained. It is also shown that the quantitative prediction of the vortex in the slat cove is an important factor that affects accuracy. In the second part of the study, three turbulence models are compared using one of the structured mesh CFD codes. All turbulence models can produce similar flowfields. However, several differences are seen in the separated regions, especially in the slat cove. Commonly used turbulence models, Spalart-Allmaras model and Menter’s SST model, produce similar aerodynamic forces at lower angles of attack. At higher angles of attack, the SST model gives better results for the present computations. It is found that the maximum lift and the angle at which the stall occurs are very sensitive to the turbulence model.
影响因子：
1.8
作者：
Ito, Y;Nakahashi, K
通讯作者：
Nakahashi, K