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Trailing-edge noise diagnostics with low-repetition-rate PIV

机译：具有低重复率PIV的后缘噪声诊断

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A novel approach for trailing-edge noise diagnostics with low-repetition rate Particle Image Velocimetry systems is presented. The approach is based on the application of diffraction theory and implements a recently developed single-snapshot pressure reconstruction in boundary layers using the Vortex-in-cell method in combination with a frozen turbulence assumption to estimate the relevant statistical descriptors of the surface pressure field. The present communication describes the required planar and tomographic Particle Image Velocimetry experiments with a high spatial-dynamic-range system and demonstrates the applicability of the approach by comparison of hydrodynamic and acoustic pressure statistics with available data. The frequency spectra of the hydrodynamic pressure near the surface are found to be sensitive to the model employed for the convective velocity in the application of the frozen turbulence assumption for reduced frequencies fδ~*/u_∞ ＞ 0.5 (2.3kHz). For lower reduced frequencies, excellent agreement with the reference data is observed.
机译：提出了一种具有低重复率粒子图像速度系统的尾部噪声诊断的新方法。该方法基于衍射理论的应用，并且使用涡旋湍流假设结合涡流湍流假设的边界层中的最近开发的单快照压力重建以估计表面压力场​​的相关统计描述符。本通信描述了具有高空间动态系统的所需的平面和断层粒子图像速度测量实验，并通过与可用数据的流体动力学和声压统计的比较来展示方法的适用性。发现表面附近的流体动力学压力的频谱对用于对流速度的模型敏感，在冻结湍流假设中用于降低频率fδ〜* /u_∞> 0.5（2.3kHz）。对于较低的频率，观察到与参考数据的良好协议。

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