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

Full Text:


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

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

Chief specialist for process control systems.

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

A. M. Duda
Erdenet Mining Corporation

Deputy Head of Automation and Computer Engineering Department.

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


1. Morozov V.V. Upravlenie processami obogashhenija na osnove izmerenija parametrov sortnosti rud [Management of enrichment processes on the basis of measurement of ore grade parameters ]. Mining information-analytical bulletin. - 2005. - No. 7. - Pp. 316-319. In Russian.

2. Ganzhargal S. Metody razdelenija rudopotokov po kachestvu pri planirovanii gornyh rabot pri otkrytoj razrabotke mestorozhdenija «Jerdjenjetijn-Ovoo» [Methods of separation of ore flows in terms of quality in the planning of mining operations with the open development of the Erdenetiin-Ovoo deposit]. Mine surveying and subsoil use. - 2006. - No. 4. - Pp. 29-31. In Russian.

3. Ziyadanogulları R., Aydın F., A New Application for Flotation of Oxidized Copper Ore // Journal of Minerals & Materials Characterization & Engineering. - 2005. - Vol. 4, No. 2. Pp. 67-73.

4. Kozin V.Z. Oprobovanie mineral'nogo syr'ja [Testing of mineral raw materials]. - Ekaterinburg: UGSU Publishing House, 2011. - 316 p. In Russian.

5. Volkov A.I., Alov N.V. Avtomatizirovannye sistemy dlja opredelenija himicheskogo sostava sypuchih i kuskovyh materialov na konvejere [Automated systems for determining the chemical composition of bulk and lump materials on a conveyor] (review). Problems of ferrous metallurgy and materials science. - 2011. - No. 2. - Pp. 75-88. In Russian.

6. Hulbert D.G. Simulation, Control and Modelling of Mineral Processing // proceedings of XXII International Mineral Processing Congress, Cape Town, South Africa, 2003. – Pp. 116-126.

7. Otgonbileg Sh. Upravlenie rudnoj massoj [Management of ore mass]. Moscow: Nedra. – 1996. – 173 p. In Russian.

8. Petrovich S.I., Mukusheva A.S., Fajzulin M.A. Metod diagnostiki obogatitel'nyh processov pri odnovremennoj pererabotke razlichnyh tipov rud [The method of diagnostics of dressing processes with simultaneous processing of various types of ores]. Mining information-analytical bulletin. - 2002. - № 3. - Pp. 231-233. In Russian.

9. Majid Memarian Sorkhabi. Computer Vision for Estimating Cooper Density by Optical Microscope Images // American Journal of Computing Research Repository, 2014. - Vol. 2, No. 4, 61-65.

10. Agoston, Max K. Computer Graphics and Geometric Modeling: Implementation and Algorithms. London: Springer. - 2005. Pp. 300–306. ISBN 1-85233-818-0.

11. Morozov V., Davaasambuu D., Ganbaatar Z., Delgerbat L., Topchaev V., Sokolov I., Stolyarov V. Modern systems of automatic control of processes of grinding and flotation of copper-molybdenum ore. In: 16th IFAC Symposium on Control, Optimization and Automation in Mining, Minerals and Metal Processing, Volume 15, Part1, IFAC (ed.), 2013. - Pp. 166-171. In Russian.

12. Obogashhenie medno-molibdenovyh rud s primeneniem kompleksnogo radiometricheskogo analiza sortnosti rudy [Enrichment of copper-molybdenum ores using complex radiometric analysis of ore grade]. V.V. Morozov, Z. Ganbaatar, C. Lodoyravsal et. al. Mining Information and Analytical Bulletin. - 2011. - No. 12. - Pp. 176-182. In Russian.

13. V. Morozov, V. Shek, Y. Morozov, Z. Ganbaatar, L. Delgerbat Improvement of Optical Methods of Ore Grade Analysis // 17th IFAC Symposium on Control, Optimization and Automation in Mining, Mineral and Metal Processing, August 31 - Sept 2, 2016, Vienna, Austria.

14. Shek V.M., Morozov V.V., Litvinov A.G. Raspoznavanie ob#ektov v mineral'nyh produktah [Recognition of objects in mineral product]. – 2015. – No. 11. – Pp. 330-336. In Russian.

15. Pérez-Barnuevo, L. Ensayo Metodológico para la Caracterización Automatizada de Menas Metálicas Mediante Análisis Digital de Imagen. Aplicación Geometalúrgica. Master’s Thesis, Universidad Politécnica de Madrid, Madrid, Spain, 2008. – Рр. 213-218.

16. Catalina, J.C.; Sagundo, F.; Brea, C.; Pérez-Barnuevo, L.; Samper, J.; Espí, J.A.; Sánchez, L.; Castoviejo, R. Use of multi-spectral analysis for automatic identification of ores. Geogaceta 2009, 46, Рр. 47–50.

17. Morozov V.V., Shek V.M., Morozov J.P., Lodoy D. Improving the intelligent methods of management of processes of enrichment on the basis of visiometrics analysis of the grade of the ore. Mining science and technology. 2016;(2):31-42. (In Russ.) DOI:10.17073/2500-0632-2016-2-31-42.

18. Ulitenko K.Ja. Upravlenie processami rudopodgotovki i obogashhenija na osnove nepreryvnogo analiza sortnosti rudy [Management of ore preparation and enrichment processes based on continuous ore grade]. V.M. Avdokhin, V.V. Morozov, Z. Ganbaatar Mining information-analytical bulletin. – 2012. – Т. 1. – No. 12. – Pp. 569-583. In Russian.

Supplementary files

For citation: Ganbaatar Z., Morozov V.V., Delgerbat L., Duda A.M. Control of copper-molybdenum ore beneficiation processes with applying advanced quality control. Gornye nauki i tekhnologii = Mining Science and Technology (Russia). 2017;(1):40-50.

Views: 882


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

ISSN 2500-0632 (Online)