Sensitivity Analysis of an Unsteady Flow Around a Pitching Airfoil

J. Añez, Hakim Hamdani, J. Réveillon, B. Duret, F. Demoulin
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Abstract

Various ways to control the loads and thus the output of the wind turbine by pitching the blades and by controlling the rotational speed already exist. However, adverse pressure gradient leading to flow separation at the trailing edge, with relatively high angles of attack (AOA) due to blade-pitching motion, largely affects the airfoil aerodynamic performance. This work presents the results of a numerical study of the unsteady flow around a pitching FFA-W3-301 airfoil at a Reynolds 1.6 × 106 using OpenFOAM®, as obtained by first performing 2D Unsteady Reynolds-Averaged Navier- Stokes (URANS) simulations whereby the flow characteristics are simulated by the shear stress transport (SST) k − ω model and Spalart-Allmaras (SA). The influence of various parameters on the numerical results is investigated, namely y+, computational grid resolution, dynamic mesh technique, time step and turbulence model. Integral aerodynamic forces and detailed flow patterns are compared with experimental measurements presented in the literature. A range of angles of attack, including early stalls, are examined. For best-performing parameters, an adequate refinement close to the wall was imperative in order to match experiments, especially during the upstroke motion of the airfoil, while for the downstroke phase, some differences still appeared. The agreement was greatly improved by using a 2.5D hybrid RANS-LES approach with enhanced delayed-Detached Eddy Simulation (DES) capabilities.
俯仰翼周围不稳定流的敏感性分析
目前已有各种方法通过叶片俯仰和控制转速来控制负载,从而控制风力涡轮机的输出功率。然而,由于叶片俯仰运动,不利的压力梯度导致后缘气流分离,攻角(AOA)相对较高,这在很大程度上影响了机翼的气动性能。本文介绍了使用 OpenFOAM® 对雷诺数为 1.6 × 106 的俯仰 FFA-W3-301 机翼周围的非稳态流进行数值研究的结果,首先进行了二维非稳态雷诺平均纳维-斯托克斯(URANS)模拟,通过剪应力传输(SST)k - ω 模型和 Spalart-Allmaras(SA)模拟了流动特性。研究了各种参数对数值结果的影响,即 y+、计算网格分辨率、动态网格技术、时间步长和湍流模型。综合气动力和详细流动模式与文献中的实验测量结果进行了比较。研究了一系列攻角,包括早期失速。对于性能最佳的参数,为了与实验结果相匹配,尤其是在机翼的上冲运动过程中,必须对靠近壁面的部分进行充分的细化,而在下冲阶段,仍然会出现一些差异。通过使用具有增强的延迟分离涡模拟(DES)功能的 2.5D 混合 RANS-LES 方法,一致性得到了极大改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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