At present, image recognition methods have been widely used in the research on measuring particle mixing and segregation in rotating drums. However, currently commonly used methods tend to study mixing and segregation from the perspective of the radial surface of the particles, but rarely from the perspective of the axial surface. Whether the data obtained from the particle surface (radial segregation or axial segregation) can reflect the degree of mixing and segregation of the entire particle system (overall segregation) is still a question worth studying. In this work, an image analysis method based on stacked images to measure the degree of surface segregation is proposed. The drum length to diameter ratio (L/D) and particle filling rate are used as operating parameters. And the discrete element method (DEM) verified by experiments has studied the difference between the surface segregation and the overall segregation of the binary particle groups (different particle sizes) in the rotating drum. This paper compares the qualitative characteristics (particle segregation characteristic patterns) and quantitative characteristics (particle segregation degree) of surface and overall mixing and segregation in detail. The results show that for short drums, radial segregation index can be used to quantify the overall degree of segregation. While for long drums, axial segregation index can be used to quantify the overall degree of segregation.

目前，图像识别方法已广泛用于测量转鼓中颗粒混合和偏析的研究。但是，目前常用的方法倾向于从颗粒的径向表面的角度研究混合和偏析，但很少从轴向表面的角度研究。从粒子表面获得的数据（径向偏析或轴向偏析）是否可以反映整个粒子系统的混合和偏析程度（整体偏析）仍然值得研究。在这项工作中，提出了一种基于堆叠图像来测量表面偏析程度的图像分析方法。滚筒长度与直径之比（L / D）和颗粒填充率用作操作参数。通过实验验证的离散元素方法（DEM）研究了转鼓中二元颗粒组（不同粒径）的表面偏析与整体偏析之间的差异。本文详细比较了表面和整体混合与偏析的定性特征（颗粒偏析特征图）和定量特征（颗粒偏析度）。结果表明，对于短桶，径向偏析指数可用于量化整体偏析程度。对于长桶，轴向偏析指数可用于量化整体偏析程度。本文详细比较了表面和整体混合与偏析的定性特征（颗粒偏析特征图）和定量特征（颗粒偏析度）。结果表明，对于短桶，径向偏析指数可用于量化整体偏析程度。对于长桶，轴向偏析指数可用于量化整体偏析程度。本文详细比较了表面和整体混合与偏析的定性特征（颗粒偏析特征图）和定量特征（颗粒偏析度）。结果表明，对于短桶，径向偏析指数可用于量化整体偏析程度。对于长桶，轴向偏析指数可用于量化整体偏析程度。