Simultaneous Multiple Parameter Optimization of Multi-Stage Variable-Inclination Equal-Thickness Screening of Coal

Screening is a key unit in the coal cleaning process. One of the most widely used screening technologies for solving the technical problems associated with coal accumulation is the multi-stage variable-inclination equal-thickness screening (MSVIETS) method. In this work, the Box-Behnken response surface methodology (BBRSM) was used to explore the synergistic mechanism of multiple operating parameters in the screening process. The simultaneous optimization of multiple parameters was conducted to obtain the optimal operating conditions and the significance order of the parameters. The significance order of the parameters affecting the screening efficiency eta was beta > f> Delta theta. The parameter conditions for the model optimization experiments were set as beta = 59.8 degrees, f = 11.54 Hz, and Delta theta = 4.16 degrees. The screening experiments with different percentages of coarse and fine particles were carried out. The screening efficiency was higher than 86%, the separation accuracy was less than 1.1 mm, and the difference between the experimental results and the model prediction results was small. This verified the accuracy and the reliability of the prediction results of the response surface model.