The optimization of predicting the liquefy of pulp in a ball mill at variable flow of water in sand of the classifier

To diminish the cost of iron-ore concentrate is possible by stabilization in the ball mill ratio ore / water, and this work is devoted to find it. In this work we used an algorithmic approach of the determination of the controlled value, the dynamic programming method and the Gauss-Seidel's method, method of analytical calculations with using the mathematical model of the process, the theory of accuracy, the theory of signal filtering, the theory of sensitivity of optimum, modeling of the processes in the sand trough of the single-spiral classifier during valuing the water supply regimes in the sands. Prediction of ore / water ratio at a constant flow of the water in the sand of the classifier optimization of the selection information means by accuracy is made at the level of permissible error of ± 3,0 % with a significant reserve (of error) in a conditions of high error of measurement of pulp, it improves the indices of the ball mill, but has identified detects. Much better results provides regimen of stabilization pulp liquefaction in the sand trough. Prediction the index in these conditions could provide at level of error ± 3,0 % in case of increasing the accuracy of the conveyor balance. The work demonstrates for the first time the possibility of creating devices of ratio ore / water prediction in a ball mill in the stabilization of pulp liquefaction in the sand trough by implementation of the algorithmic approach and optimize the choice of measuring devices by accuracy. The practical significance consists in the increasing of production of the ball mill and economy electricity, steel balls and inwall.