Journals →  Obogashchenie Rud →  2019 →  #2 →  Back

ArticleName Ore processing efficiency improvements for precious metals based on process simulations
DOI 10.17580/or.2019.02.02
ArticleAuthor Aleksandrova T. N., Nikolaeva N. V., Lvov V. V., Romashev A. O.

St. Petersburg Mining University (St. Petersburg, Russia):
Aleksandrova T. N., Нead of Сhair, Doctor of Engineering Sciences, Professor,
Nikolaeva N. V., Associate Professor, Candidate of Engineering Sciences,
Lvov V. V., Associate Professor, Candidate of Engineering Sciences,
Romashev A. O., Associate Professor, Candidate of Engineering Sciences,


At present, specialized software packages designed to simulate industrial processes are being used when designing new and upgrading existing processing plants. Process samples of carbonaceous polymetallic ores were selected for the study. Based on the physical and mechanical properties studied, a sustainable ore preparation circuit with respective instrumentation and operating regimes was proposed. This circuit enables obtaining the finished product with the particle size of over 90 % passing 0.071 mm at its peak performance, with the lowest possible circulating load and energy consumption. The paper presents the simulation results for the process flotation circuit, consisting of a carbon flotation cycle and a sulfide flotation cycle, designed using JKSimFloat specialized software. Based on the calculation of the surface activation energy and using the differential method, it is found for the samples that the average activation energy in combustion of a sample containing both kerogen and bitumen is significantly higher than that in combustion of a sample containing kerogen only. The comprehensive study of the mineralogical and process (physical and mechanical, flotation, etc.) properties of the initial ores and their processing products, combined with the simulation modeling, allowed substantiating a sustainable process circuit for processing the ores studied.
The work was carried out with the financial support of the Russian Science Foundation (project No.19-17-00096).

keywords Ore preparation, physical and mechanical properties, simulation, carbon flotation, sulfide flotation, specific aeration intensity, JKSimMet, JKSimFloat, thermal analysis, kerogen, bitumen, persistence factors

1. Chanturiya V. А., Vaisberg L. A., Kozlov А. P. Promising trends in investigations aimed at all-round utilization of mineral raw materials. Obogashchenie Rud. 2014. No. 2. pp. 3–9.
2. Order of the Government of the Russian Federation from December 22, 2018 N 2914-p «On approval of the Strategy for the development of the mineral resource base of the Russian Federation until 2035».
3. Vaisberg L., Ustinov I. Big data in separation process simulations for mineral raw materials. Geoinformatics Research Papers: Proc. of the Geophysical Center of RAS. 2017. Vol. 5, No. 1. p. 28.
4. Taranov V. A., Baranov V. F., Aleksandrova T. N. Review of software tools for modeling and calculation of ore preparation flowsheets. Obogashchenie Rud. 2013. No. 5. pp. 3–7.
5. Korolev I., Remes A., Stoilov V., Angelov A., Pukov T., Gaydardzhiev S. HSC SIM® simulation model of the assarel copper flotation circuit based on process mineralogy and metallurgical testing [Electronic source]. Proc. of the XXIX IMPC, Moscow, September 17–21, 2018. Pt. 8. Process modeling. Paper 455. pp. 73–82. USB flash drive.
6. Seppälä P., A. Sorsa, Paavola M., Ruuska J., Remes A., Kumar H., Lamberg P., Leiviskä K. Development and calibration of a dynamic flotation circuit model. Minerals Engineering. 2016. Vol. 96–97. pp. 168–176.
7. Schmidt C. M., Heide K. Thermal analysis of hydrocarbons in Paleozoic black shales. Journal of Thermal Analysis and Calorimetry. 2001. Vol. 64, No. 3. pp. 1297–1302.
8. Schwarz S., Richardson J. M. Modeling and simulation of mineral processing circuits using JKSimMet and JKSimFloat. SME Annual Meeting & Exhibit (SME 2013) and CMA 115th National Western Mining Conference: Proceedings of a meeting held 24–27 February 2013, Denver, Colorado, USA. NY: Curran Associates, Inc., 2013.
9. Schwarz S., Alexander D. JKSimFloat V 6.1 Plus: Improving flotation circuit performance by simulation. Mineral process modelling, simulation and control: Conference proceedings. 2006. pp. 35–48.
10. Harris M. C., Runge K. C., Whiten W. J., Morrison R. D. JKSimFloat as a practical tool for flotation process design and optimization. Proc. of the SME Mineral Processing Plant Design, Practice and Control Conference, SME, Vancouver. 2002. pp. 461–478.
11. Schwarz S., Alexander D., Whiten W. J., Franzidis J. P., Harris M. C. JKSimFloat V6: improving flotation circuit performance and understanding. Proc. of the XXIII International Mineral Processing Congress, Istanbul, Turkey, September 2006. pp. 1717–1722.
12. Alexander D. J., Franzidis J. P., Manlapig E. V. Froth recovery measurement in plant scale flotation cells. Minerals Engineering. 2003. Vol. 16, No. 11. pp. 1197–1203.
13. Aleksandrova T. N., Tsyplakov V. N., Romashev А. О., Semenikhin D. N. Removal of sorption-active carboniferous components from difficultly-treated gold sulfide ores and concentrates of the Mayskoye deposit. Obogashchenie Rud. 2015. No. 4. pp. 3–7.
14. Semenikhin D. N. Improving the quality of goldcontaining concentrate based on a combination of gravityflotation methods: thesis for the degree of Сandidate of Engineering Sciences. St. Petersburg Mining University, 2018. 148 p.
15. Aleksandrova T. N., Heide G., Afanasova A. V. Assessment of refractory gold-bearing ores based on interpretation of thermal analysis data. Journal of Mining Institute. 2019. Vol. 235. pp. 30–37. DOI: 10.31897.PMI.2019.1.30.
16. Handbook of thermal analysis and calorimetry: Recent advances, techniques and applications. Elsevier B. V., 2008. Vol. 5. pp. 503–538.
17. Aleksandrov A. V., Afanasova A. V., Krizhanovskaya D. A. Analysis of thermograviometric data of carbon-containing materials for justification of processing technologies. Gorny informatsionno-analiticheskiy byulleten. 2018. No. S56 (Special issue). pp. 35–43.

Language of full-text russian
Full content Buy