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ELECTROCHEMISTRY RESEARCH OF PREPARATION SLURRY BEFORE INTERMEDIATE FLOTATION FOR SULPHIDE-POLIMETALLIC ORES

Prof. Dr. Tatiana Aleksandrova, PhD Student Sergey Romanenko, PhD Student Karen Arustamian

First published: 2017-06-20https://doi.org/10.5593/sgem2017/11/s04.107View metrics

Abstract

In the present scientific work assessed current status of question about grinding stage effect to electrochemistry parameters of operation preparation slurry before intermediate selective flotation. Showed needs of more detail study chemical reactions in the slurry preparation and flotation processes.At example of Abiz deposit ores has been offer new methodology. The ores are polymetallic sulphide type and the one are most difficult for mineral processing. The methodology allows increase information base during floatation tests. In the study of mineral processing questions have been used ionometric methods and elements of neural network. We have also identified the relationship between the received values of the electrochemical parameters and the technological results in selective flotation.The optimal values of the electrochemistry parameters in operation of the preparation slurry before selective flotation has been found.The main effect of using the proposed methodology is to obtain scientifically based solutions to improve the technology parameters of flotation polymetallic sulfide ores.

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Publication details

Title
ELECTROCHEMISTRY RESEARCH OF PREPARATION SLURRY BEFORE INTERMEDIATE FLOTATION FOR SULPHIDE-POLIMETALLIC ORES
Authors
Prof. Dr. Tatiana Aleksandrova, PhD Student Sergey Romanenko, PhD Student Karen Arustamian
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Science and Technologies in Geology, Exploration and Mining
Publisher
STEF92 Technology
Year
2017
Pages
841-848
SWS Citekey
Aleksandrova20174841848
ISSN
1314-2704
ISBN
978-619-7105-98-8
Language
en
Publication type
Conference Paper
Keywords
flotationelectrochemistryNeural Networks.
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