Using the multivision technique, a new void fraction measurement method was developed for bubble and slug flow in a small channel. The multivision system was developed to obtain images of the two-phase flow in two perpendicular directions. The obtained images were processed—using image segmentation, image subtraction, Canny edge detection, binarization, and hole filling—to extract the phase boundaries and information about the bubble or slug parameters. With the extracted information, a new void fraction measurement model was developed and used to determine the void fraction of the two-phase flow. The proposed method was validated experimentally in horizontal and vertical channels with different inner diameters of 2.1, 2.9, and 4.0 mm. The proposed method of measuring the void fraction has better performance than the methods that use images acquired in only one direction, with a maximum absolute difference between the measured and reference values of less than 6%.

使用multivision技术，开发了一种新的空隙率测量方法，用于测量小通道中的气泡和团状流。开发了multivision系统，以获取两个垂直方向上的两相流图像。使用图像分割，图像减法，Canny边缘检测，二值化和孔填充来处理获得的图像，以提取相位边界和有关气泡或弹头参数的信息。利用提取的信息，开发了新的空隙率测量模型，并将其用于确定两相流的空隙率。该方法在水平和垂直通道内径分别为2.1、2.9和4.0 mm的情况下进行了实验验证。