Abstract A method to determine the depth of detection (DOD) for particle shadow tracking velocimetry (PSTV) is presented. In contrast with other image-based velocimetry techniques, PSTV is capable of measuring particle velocity in a volume of the flow. However, a precise methodology to determine the size of the measurement volume was not available (in particular, for internal flows in tubes with circular cross sections). To correct this shortcoming, we determined the range of distances in which the particles could be clearly identified. This was accomplished by displacing a calibration target across the camera’s field of view and by implementing appropriate filtering algorithms. The method was tested with a polydispersed gas-particle flow inside a tube. We found that the significantly improved particle count resulted in an unbiased statistical convergence of the data. Graphic abstract .

中文翻译：

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一种确定粒子阴影跟踪测速（PSTV）测量体积的方法

摘要 提出了一种确定粒子阴影跟踪测速（PSTV）检测深度（DOD）的方法。与其他基于图像的测速技术相比，PSTV 能够测量流体体积中的粒子速度。然而，没有一种精确的方法来确定测量体积的大小（特别是对于圆形横截面管中的内部流动）。为了纠正这个缺点，我们确定了可以清楚识别粒子的距离范围。这是通过在相机的视野范围内移动校准目标并实施适当的过滤算法来实现的。该方法是用管内的多分散气体颗粒流进行测试的。我们发现显着改善的粒子计数导致数据的无偏统计收敛。图形摘要。