Abstract：It is difficult to evaluate the mixing uniformity of powder or particle mixing material by traditional sampling analysis method. The mixed raw coal is regarded as a mixture with different probability distributions of various components. In the mixed coal formed by mixing raw coal, the probability distribution of a certain component is determined by the composition distribution, mixing ratio and particle mixing state of the raw coal. Taking volatile as the tracer component, the change of the probability distribution of volatile in the mixing process was investigated. At given mine coal volatile distributions and mixed coal sample data set, the maximum likelihood principle was used to estimate the mixing ratio and standard deviation of various raw coal in the mixed coal, and then the mixing state was evaluated. The results show that the prediction results of the mixing model for the actual mixing system are in good agreement with the statistical data of raw coal consumption. The multiple blending conditions simulation experiments also show that the worse particle homogeneity of the mixing system, the higher the prediction accuracy of the model.
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2022, Vol. 43 
