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利用Matlab图像处理功能计算了钢中夹杂物SEM图像的边缘、二维和三维分形维数,并讨论了边缘分形维数与夹杂物颗粒微观凝聚机制和三维分形维数与其融入顶渣中动力学之间的关系。结果表明:边缘分形维数可定量地表征夹杂物边界轮廓线的曲折复杂程度;对非润湿夹杂物颗粒来说,其边缘分形维数越大,表明气泡易于在其表面生成,从而更加有力于夹杂物的碰撞凝聚长大;夹杂物颗粒的三维分形维数越小,更有利于夹杂物融入渣中而被去除;分形维数是一个影响不规则夹杂物颗粒碰撞、凝聚和去除的重要参数。
The edge, two-dimensional and three-dimensional fractal dimensions of SEM images of inclusions in steel were calculated by using Matlab image processing function. The relationship between the fractal dimension of the inclusions and microscopic aggregation mechanism of inclusions and the inclusion of three-dimensional fractal dimension into the top slag kinetics The relationship between. The results show that the edge fractal dimension can quantitatively characterize the tortuous complexity of the boundary contours of inclusions. For the non-wetting inclusions, the larger the fractal dimension of the edge is, the more bubbles are easy to form on the surface The collision of inclusions cohesion and growth; inclusions particles smaller three-dimensional fractal dimension, more conducive to inclusions into the slag and be removed; fractal dimension is an impact irregular inclusions particles collision, aggregation and removal of the important parameter.