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Control of copper-molybdenum ore beneficiation processes with applying advanced quality control

https://doi.org/10.17073/2500-0632-2017-1-40-48

Abstract

In the process of ore beneficiation, applying open control loop systems using ore quality as input parameter, proves very effective. To determine the ore quality, on-line analysis of its material and mineralogical composition, impregnation of valuable components is carried out. Based on the analysis results, ore streams are formed at the processing plant, and effective processing conditions are selected. Modern systems of visual metering analysis of ore create the basis for efficient automated control of beneficiation processes, based on the principle of advanced control of ore grade. To improve the accuracy of determining the ore mineral composition, a special installation has been developed, which provides cleaning of ore from slurry. The installation enables achieving high accuracy of the ore mineralogical composition analysis. Tests of the ore grade visual metering analysis system, carried out using copper-molybdenum ores of the Erdenet GOK, have shown high reliability and efficiency of the system.

About the Authors

Z. Ganbaatar
Erdenet Mining Corporation
Mongolia

Dr. Sci. (Tech.). Deputy General Director.

Friendship Square, Bayan-Undur soum, Orkhon province, 61027, Mongolia



V. V. Morozov
The National University of Science and Technology MISiS
Russian Federation

Dr. Sci. (Tech.), Professor/

119991, Moscow, Leninsky Prospect, 4



L. Delgerbat
Erdenet Mining Corporation
Mongolia

Chief specialist for process control systems.

Friendship Square, Bayan-Undur soum, Orkhon province, 61027, Mongolia



A. M. Duda
Erdenet Mining Corporation
Mongolia

Deputy Head of Automation and Computer Engineering Department.

Friendship Square, Bayan-Undur soum, Orkhon province, 61027, Mongolia



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Review

For citations:


Ganbaatar Z., Morozov V.V., Delgerbat L., Duda A.M. Control of copper-molybdenum ore beneficiation processes with applying advanced quality control. Mining Science and Technology (Russia). 2017;(1):40-50. (In Russ.) https://doi.org/10.17073/2500-0632-2017-1-40-48

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