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Coherent Structure Interaction During Unsteady Separation

机译:非稳态分离过程中的相干结构相互作用

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摘要

Unsteady flow separation in rotationally augmented flow fields plays a significant role in the aerodynamic performance of industrial rotors, including wind turbines. Current computational models underestimate the aerodynamic loads due to the inaccurate prediction of the emergence and severity of unsteady flow separation, especially in response to a sudden change in the effective angle of attack. Through the use of time-resolved particle image velocimetry (PIV), coherent structure formation during the unsteady separation over an experimental wind turbine blade is examined. Time-dependent empirical mode decomposition results during a dynamic pitching cycle give insight into the spatio-temporal scales that influence the transition from attached to separated flow. Empirical mode decomposition (EMD) modes are represented as two-dimensional fields and are analyzed together with Lagrangian coherent structures, the spatial distribution of vortices, the location of the separation point, and velocity contours focusing on the role of vortex shedding and shear-layer perturbation in unsteady flow separation, stall, and reattachment. The combination of these analytical techniques provides experimental evidence that the location of the separation point and the stability of the shear layer are directly influenced by the presence of vortices. Within this paper, each of the scales represented by the EMD are directly connected to the size of the vortices present, from the smallest representing a vortex radius to the largest reaching to two full vortex diameters. The velocity scales and spatial scales provided by the EMD modes are also found to supply valuable inputs into the identification of Lagrangian coherent structures within each of the PIV snapshots. This indicates that the scales captured by the EMD can be used to extract important turbulent scales present at the point of flow separation where the vortices are created, providing relenvant insight into the separation dynamics of the airfoil.
机译:旋转增强流场中的非定常流分离在包括风力涡轮机在内的工业转子的空气动力学性能中起着重要作用。由于对不稳定流动分离的出现和严重性的不准确预测,当前的计算模型低估了空气动力学负荷,尤其是对有效迎角的突然变化做出响应时。通过使用时间分辨粒子图像测速(PIV),检查了在实验性风力涡轮机叶片上进行非稳态分离过程中的相干结构形成。动态俯仰周期中随时间变化的经验模式分解结果可洞悉时空尺度,这些尺度会影响从附着流到分离流的过渡。经验模态分解(EMD)模式表示为二维场,并与拉格朗日相干结构,涡旋的空间分布,分离点的位置以及关注涡旋脱落和剪切层作用的速度等高线一起进行分析不稳定流动分离,失速和重新连接时的扰动。这些分析技术的结合提供了实验证据,表明分离点的位置和剪切层的稳定性直接受旋涡的存在影响。在本文中,以EMD表示的每个尺度都与存在的涡旋的大小直接相关,从最小的代表涡旋半径到最大的达到两个完整的旋涡直径。还发现了由EMD模式提供的速度尺度和空间尺度为在每个PIV快照中的拉格朗日相干结构的识别提供了有价值的输入。这表明由EMD捕获的水垢可用于提取在产生涡流的流动分离点处存在的重要湍流水垢,从而提供了对翼型分离动力学的更深刻了解。

著录项

  • 来源
    《AIAA Journal》 |2019年第8期|3239-3249|共11页
  • 作者单位

    Portland State Univ, Dept Mech & Mat Engn, Portland, OR 97207 USA;

    Fed Inst Technol Lausanne, EPFL STI IGM UNFoLD, Stn 9, CH-1015 Lausanne, Switzerland;

    Portland State Univ, Dept Mech & Mat Engn, Portland, OR 97207 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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