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Abstract

The article analyzes the methods of mathematical modeling of the closed-loop process of fine grinding of ore in order to predict the composition of the crushed raw material. Analyzed modeling methods that consider the control of classification of crushed raw materials and finished products by the size of the recirculating load, simulation modeling methods, methods that use neuro-phase netthe research apparatus, in which the fuzzy logic apparatus serves as a fundamental component for the formation of conclusions. The materials presented in the article reflect the theoretical substantiation and generalization of the accumulated practical experience in modeling and control of the grinding process. The conclusion is that scientific and technical progress in the study of the grinding process can be achieved on the basis of a comprehensive systematic approach based on mathematical modeling, relying on theoretical and practical knowledge of the process and taking into consideration the laws of change in the particle size distribution and process control at a given output of the finished class of commercial products should be combined.

First Page

49

Last Page

62

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