Abstract

The subject of the research is a new approach of resource-saving adaptive distributed control of ore grinding with sands of mechanical single-spiral classifier in ball mills on the basis of taking into account the role of scoop feeder, influence on material flows, estimation of technological parameters with increased accuracy and new mathematical models of water dosing in the technological process and algorithm of estimation of solid concentration in the pulp of technological unit. Within the framework of the adopted research methodology a number of methods of different accessory groups have been applied. Comparison method – when studying the statics of the scoop feeder and its operation with one and two gripping bodies. Method of analysis – at increase of resource saving in the process of grinding of raw materials, means and approaches of stabilisation of pulp liquefaction in ball mills, prediction of errors of solid/liquid ratio, inclusion of the initial section of the mill in active work. Method of mathematical modelling – in the development of a mathe-matical model for finding the mass flow rate of solid in the sand flow, finding the water flow rate into the ball mill at various technological points. Method of the theo-ry of algorithmic estimation – in the development of an approach for identification of the solid/liquid ratio in the ball mill. Method of error theory – in measuring pulp volumetric flow rate. Flowmeter theory methods – in measuring the volumetric flow rate of water and slurry. Methods of the theory of scanning devices – at creation of volumetric flow meter of pulp in open flow. The aim of the publication is to investi-gate the scoop feeder as a means of resource saving in a ball mill when grinding ore with classifier sands based on the application of new models of the technological process, a new algorithm for assessing the concentration of solid in the pulp, control of the oscillation of material flows and models of water flow rate stabilisation. The purpose of the research has been achieved. The obtained results are a theoretical basis for the creation of a system of adaptive separate resource-saving control of ore grinding with classifier sands in the first stages of ore preparation.

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