Abstract:

A new control scheme is introduced for Steam Coal separation indexes. Based on the wash-ability test data and daily test results, the comprehensive float-and-sink table of the target size product was calculated to help get the regression model of the calorific value by Microsoft EXCEL linear regression tool. The model was simplified with optimization, and the detailed values of the separation indexes at the circumstances of concentrate-crop-to-raw, were calculated through selecting reasonable boundary condition and VC++ programing. The calculation results indicated that: at 5500Kcal/kg caloric requirement, the fines needed to be completely washed, and the separation density for lumps should be 1.70kg/L. This technique overcomes problem emerged in the traditional maximum productivity principle method which took only ash content into account and other indexes are more or less neglected. The separation index control technique determines the amount of feed and the optimum sorting density of each sorting system in a scientific method, which is of great significance to promote the coal separation industry to transform from empirical way to scientific techniques.