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Aerodynamic and Acoustic Simulations of Thick Flatback Airfoils Employing High Order DES Methods
Advanced Theory and Simulations ( IF 2.9 ) Pub Date : 2022-05-12 , DOI: 10.1002/adts.202200129
Galih Bangga 1 , Ferdinand Seel 1 , Thorsten Lutz 1 , Timo Kühn 2
Affiliation  

The results of high fidelity aerodynamic and acoustic computations of thick flatback airfoils are reported in the present paper. The studies are conducted on a flatback airfoil having a relative thickness of 30% with the blunt trailing edge thickness of 10% relative to chord. Delayed Detached-Eddy Simulation (DDES) approaches in combination with high order (5th) flux discretization WENO (Weighted Essentially Non-Oscillatory) and l2Roe$l^{2}Roe$ Riemann solver are employed. Two variants of the DES length scale calculation methods are compared. The results are validated against experimental data with good accuracy. The studies provide guideline on the mesh and turbulence modeling selection for flatback airfoil simulations. The results indicate that the wake breakdown is strongly influenced by the spanwise resolution of the mesh, which directly contributes to the prediction accuracy especially for drag force and noise emission. The Reynolds normal stress uu¯$\overline{u^{\prime }u^{\prime }}$ and the uv¯$\overline{u^{\prime }v^{\prime }}$ Reynolds stress component have the largest contributions on the mixing process, while the contribution of the uw¯$\overline{u^{\prime }w^{\prime }}$ component is minimal. Proper orthogonal decomposition is further performed to gain deeper insights into the wake characteristics.

中文翻译:

采用高阶 DES 方法的厚平背翼型的气动和声学模拟

本文报道了厚平背翼型的高保真气动和声学计算结果。这些研究是在平背翼型上进行的,该翼型的相对厚度为 30%,钝后缘厚度相对于弦为 10%。延迟分离涡模拟 (DDES) 方法与高阶 (5th) 通量离散化 WENO(加权本质上非振荡)和l2Re$l^{2}鱼子$采用黎曼求解器。比较了 DES 长度尺度计算方法的两种变体。结果通过实验数据进行了验证,具有良好的准确性。这些研究为平背翼型模拟的网格和湍流建模选择提供了指导。结果表明,尾流击穿受网格的展向分辨率的强烈影响,这直接有助于预测精度,特别是对于阻力和噪声发射。雷诺正应力''¯$\overline{u^{\prime }u^{\prime }}$'v'¯$\overline{u^{\prime }v^{\prime }}$雷诺应力分量对混合过程的贡献最大,而'w'¯$\overline{u^{\prime }w^{\prime }}$组件是最小的。进一步执行适当的正交分解以更深入地了解尾流特征。
更新日期:2022-05-12
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