Research on prediction model of coal ash fusibility temperature in Santanghu coalfield
The fusibility of coal ash is one of the important indexes to determine the smooth operation of boiler or gas-ifier,and it has a strong correlation with the chemical composition of coal ash.Therefore,the establishment of the fusibility temperature prediction model of coal ash in Santanghu coalfield is of great significance to realize the tempera-ture control of coal ash fusibility and clean and efficient utilization of coal in specific mining areas.Based on the coal ash composition and fusibility data of 70 coal samples from Santanghu coalfield,a four-variable prediction model,a ten-variable prediction model and a twelve-variable prediction model were established by using multiple linear regres-sion analysis,which took coal ash composition,Si-Al ratio,acid-base ratio as independent variables and coal ash fluidity temperature as dependent variable.The stepwise regression analysis method was used to optimize the predic-tion model and the optimal regression equation was obtained.With the increase of the number of independent varia-bles,the correlation coefficient of the model increases gradually.The optimal regression equation prediction model was tested for usability and numerical value,and the regression equation had good confidence.The predicted value of coal ash fluidity temperature in the model had a small deviation from the experimental value,indicating that the pre-diction model could perform well in prediction.
fusibility of coal ashcoal ash compositionprediction modelsregression analysisvariableoptimal regression equationusability testnumerical test
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