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International Journal of Energy for a Clean Environment
SJR: 0.195 SNIP: 0.659 CiteScore™: 1.2

ISSN Imprimir: 2150-3621
ISSN En Línea: 2150-363X

International Journal of Energy for a Clean Environment

Formerly Known as Clean Air: International Journal on Energy for a Clean Environment

DOI: 10.1615/InterJEnerCleanEnv.2018021634
pages 319-333

MATHEMATICAL MODEL FOR PREDICTING LIMESTONE ENRICHMENT INDICATORS

Petr I. Pilov
National Mining University of Ukraine, 19 Karl Marx Ave., Dnepropetrovsk, 49027, Ukraine
A. S. Dreshpak
National Mining University of Ukraine, 19 Karl Marx Ave., Dnepropetrovsk, 49027, Ukraine

SINOPSIS

A mathematical model for predicting enrichment indicators of raw materials of heterogeneous carbonate deposits on the basis of a regression analysis has been constructed. This model takes into account the stochastic link between the limestone mass fraction and rock particle sizes. The calculating methodology of optimal separation of particle sizes in the process of screening has been developed. The processing mode optimization has provided an increase in the raw material enrichment efficiency as well as the improvement of the regional ecological situation.


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