Rotating drum experiments on binary mixtures of plastic spheres with wood spheres, wood cylinders, plastic cylinders, and wood cubes were investigated, respectively. A high-resolution camera was employed to record the flow behaviors of the binary mixtures. A machine learning-assisted image processing method was developed to segment the particles of different shapes, and its superiority was demonstrated by comparing the results with the pixel and artificial counting methods. This method was used to analyze the images recorded from binary mixture experiments to explore the effects of rotating speed, particle shape, and density differences on mixtures’ radial and axial mixing and segregation behavior. The results show that the particle shape and density difference significantly affect the resolution angle of the binary mixture containing plastic spheres. In the radial direction, the degree of mixing of the binary mixtures containing wood spheres and cubes is not sensitive to speed. The degree of mixing of the binary mixture containing cylindrical particles increases linearly with the rotating speed within a specific range. The particle shape significantly affects the radial segregation of the binary mixtures. In contrast, the rotating speed has a negligible effect on the radial segregation of binary mixtures containing wood spheres, cylinders, and cubes.

中文翻译：

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测量球形和非球形二元颗粒：使用机器学习辅助图像处理在转鼓中混合和分离

分别对塑料球与木球、木圆柱体、塑料圆柱体和木立方体的二元混合物进行转鼓实验。采用高分辨率相机来记录二元混合物的流动行为。开发了一种机器学习辅助图像处理方法来分割不同形状的颗粒，并通过将结果与像素和人工计数方法进行比较，证明了其优越性。该方法用于分析二元混合物实验记录的图像，以探讨转速、颗粒形状和密度差异对混合物径向和轴向混合和偏析行为的影响。结果表明，颗粒形状和密度差异显着影响含有塑料球的二元混合物的分辨角。在径向方向上，含有木质球体和立方体的二元混合物的混合程度对速度不敏感。含有圆柱形颗粒的二元混合物的混合程度在特定范围内随着转速线性增加。颗粒形状显着影响二元混合物的径向偏析。相比之下，转速对含有木球、圆柱体和立方体的二元混合物的径向偏析的影响可以忽略不计。