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ANALYTICAL METHODS IN BENEFICIATION PROCESSES
Название An automated mineralogical analysis for beneficiation processes
Автор Pankin A. V., Makavetskas A. R., Shekhirev D. V.
Информация об авторе

National University of Science and Technology «MISIS» (Russia):

Pankin A. V., Postgraduate, Engineer, alex.pankin.misis@gmail.com

Makavetskas A. R., Senior Lecturer, Leading Engineer, algis.makavetskas@gmail.com
Shekhirev D. V., Head of a Chair, Associate Professor, Ph. D. in Technical Sciences, shekhirev@list.ru

Реферат

The article considers an automated mineralogical analysis system. By way of example, operation of MLA System, installed at National University of Science and Technology «MISIS», is used to describe advantages of image, formed by scanning electron microscope equipped with X-ray fluorescence microanalyzers, in comparison with optical microscope image. MLA System operating principle and regimes are considered. Information is presented with regard to possibilities of automated mineralogical analysis on the basis of MLA System, as well as choice of analysis implementation method, depending on the data to be generated by the system. The results of tin gravity concentration plant tailings and coppernickel ore beneficiation products analyses are shown: distribution of minerals in products, particles size distribution in briquette, distribution of minerals in intergrown pieces and dressability limiting curves. Main advantages and disadvantages of this analysis are described. Techniques and methods are mentioned, by means of which the analysis precision and effectiveness may be increased. A conclusion is made, that owing to a relatively short duration time of automated mineralogical analysis and possibility of minerals identification by chemical composition, systems that are similar to MLA System, may be preferable for application both at mine or dressing plant, and research organizations.

Ключевые слова Automated mineralogical analysis, MLA System, QEMSCAN, flotation, mineralogical analysis, X-ray fluorescence spectrum
Библиографический список

1. Butcher A. R. A practical guide to some aspects of mineralogy that affect flotation. Flotation Plant Optimisation: A Metallurgical Guide to Identifying and Solving Problems in Flotation Plants, Carlton, Vic., AusIMM, 2010, No. 16, pp. 83–95.
2. Kozin V. Z. Issledovaniye rud na obogatimost (Ore preparability research), Yekaterinburg, Izdvo UGGY, 2008, pp. 44–63.
3. www.automatedmineralogy.blogspot.com.
4. Figueroa G., Moeller K., Buhot M., Gloy G., Haberla D. Advanced discrimination of hematite and magnetite by automated mineralogy. Proc. of 10th Intern. Cong. for Applied Minerlogy in the Minerals Industry, Trondheim, Norway, 2011, pp. 198–204.

Language of full-text русский
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