LLC Gipronickel Institute, Saint Petersburg, Russia

A. A. Klemyatov, Head of the Laboratory for Geotechnical Testing of Raw Materials, e-mail: KlemyatovAA@nornik.ru
M. A. Magaev, Head of the Sector of Testing Ore Preparation and Technological Calculations, e-mail: MagaevMA@nornik.ru

JSC Kola Mining and Metallurgical Company, Monchegorsk, Russia
A. P. Shorikov, Chief Technologist of the Ore Processing Plant
I. V. Bityugin, Chief Manager of the Chief Metallurgist Department of the Technical Administration

The article describes an application of simple dependencies attributed to extraction of components into the concentrate and its yield and the feed composition. The analysis of process parameters and laboratory tests for various ores and processing methods shows a clear linear relation between the quantity of the components extracted to the concentrate (γ·β) and its content in ore. The concentrate yield shows a close to linear dependence for content of the target component or a group of components in ore. The dependencies have been already used as part of analyzing and forecasting parameters of processing by flotation of sulfide ores from Norilsk, the Kola Peninsula and Zabaykalsky Krai, apatite ore, magnetic separation of magnetite and some other processes. The object under study is sulfide copper-nickel ores processed at the ore processing plant of the Kola Mining and Metallurgical Company located in the city of Zapolyarny. The article contains calculated forecast parameters of nickel extraction into the sulfide concentrate (final product), factoring into the nickel content in the burden to be processed and a share composition of ores by areas of feeding (there are about ten ones in the burden composition). The authors determined influence of changes in the quality of the produced concentrate on nickel extraction into the concentrate. A combination of the methods under study was applied to adjust and analyze the results of semi-industrial testing of one of promising technologies for the ore processing plant under study, factoring into changes in the burden composition and the quality of the concentrate. The article presents how the proposed approach is applied to analyze the influence of treatment on processing performance. The value of the approach under study lies in simplicity, universality and need for applying no highly specialized software.

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