Structural parameter analysis of steelmaking desulfurization agitator based on image processing

KR stirred hot metal desulphurization is a key step in the steel production process and the structural parameters of the mixer directly affect the desulphurization effect. In this paper, a structural parameter analysis method based on image processing is proposed. The water model experiment is done by control variable method, at the same time, the experimental pictures are obtained. Moreover, the K-means clustering method is introduced to process the image segmentation, and the pixel number of the obtained target image is used to evaluate the degree of dispersion of desulfurization agent and the agitator structural parameters are determined by dispersity. Experimental data analysis results are given to demonstrate the agitator structural parameters with mixing uniformity can be accurately determined and the optimal parameter values can be got.