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ORE PREPARATION
Название The use of a simulation model for reducing the size of mineral particles in the modeling of crushing and grinding processes
DOI 10.17580/or.2020.02.01
Автор Nikitin R. M., Biryukov V. V., Kameneva Yu. S., Vishnyakova I. N.
Информация об авторе

Mining Institute of Kola Scientific Centre of RAS (Apatity, Russia):

Nikitin R. M., Researcher, Candidate of Engineering Sciences, remnik@yandex.ru
Biryukov V. V., Researcher
Kameneva Yu. S., Junior Researcher
Vishnyakova I. N., Junior Researcher

Реферат

In this article, the simulation model for mineral particle size reduction developed at the Mining Institute of the Kola Science Centre of the Russian Academy of Sciences is used as the basis for describing the approach to modeling crushing and grinding processes based on generating the distribution density for the sum of mineral particles formed using the reflected normal Gauss–Laplace distribution. Samples of sulfide copper-nickel ore of the Pechenga ore field and ROM iron and low-iron ore of JSC Olcon were used in the study. The results obtained demonstrate the use of the simulation model in the development of a software module for simulating the operation of the corresponding process equipment. The model may be applied independently to specific processes of particle size reduction (types and energy intensity ratings of the equipment used, physical and mechanical properties of solid particles) for the operational forecasting of mineral processing results. The time dependence is shown for the size distribution of mineral particles, which takes into account the properties of the material being ground, the particular type of equipment and the specific energy effect on the material being ground.
This work was financially supported under research topic 0226-2019-0063 «Development of the theory for the processing of strategic mineral raw materials of the Kola mining complex in accordance with the environmental strategy for the development of the industry», No. AAAA-A19-119040390026-3.
The authors are grateful to the rest of the team of contributors: the director of the Mining Institute of the Kola Science Centre of the RAS, Doctor of Engineering Sciences S. V. Lukichev and Head of Laboratory, Candidate of Engineering Sciences G. V. Mitrofanova.

Ключевые слова Process flow, separation characteristics, optimization criteria, simulation, grinding kinetics, disseminated minerals, Gauss–Laplace distribution
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