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ArticleName Ore strength analysis in planning ore pretreatment circuit
DOI 10.17580/gzh.2015.12.02
ArticleAuthor Nikolaeva N. V., Taranov V. A., Afanasova A. V.

National Mineral Resources University — University of Mines, Saint-Petersburg, Russia:
N. V. Nikolaeva, Assistant Professor, Candidate of Engineering Sciences,
V. A. Taranov, Postgraduate student
A. V. Afanasova, Postgraduate student


Planning and operation of efficient ore pretreatment cycle requires a detailed analysis of strength properties and characteristics of ore. There are many procedures available to estimate ore grindability. The choice of a procedure is conditioned by the type of a grinding circuit and by the method and approach to the circuit design. Currently, one of the world’s most popular methods for laboratory investigation of the strength properties of ore are the Bond strength test and the JK Drop Weight Test developed at JKMRC, Australia. Combinations of circuits of crushing, autogenous and semiautogenous grinding, classification and secondary milling are modeled. Energy input of crushing is estimated based on the Drop Weight Test data, while autogenous and semiautogenous grinding energy consumption is assessed based on the modeling results. Modeling is also of use in planning new circuits for testing various configurations of a circuit and to improve the equipment selection. In order to analyze and reveal mathematical relations between the drop weight parameters and Bond work indexes, a data base on laboratory testing of various type ore grindability has been collected. The data base was used for statistical analyzes, plotting and for deriving mathematical relations, which showed good convergence of characteristics of impact strength (A·b), wear capacity (ta) and ball mill work index. The research findings allow passing between the results of different tests without additional studies, which considerably shortens the period of analysis of ore characteristics. Furthermore, the research has shown feasibility of having the detailed and extensive knowledge on strength characteristics of ore as early as the stage of planning of ore pretreatment, which enables improvement of reliability and efficiency of design solutions within the entire system of ore processing.
The study was carried out for the project part of state assignment in the field of science, No. 5.1284.2014/K as of July 11, 2014.
The authors appreciate participation of T. N. Aleksandrova, Head of Mineral Processing Department, National Mineral Resources University—University of Mines, Doctor of Engineering Sciences, in the given study.

keywords Ore pretreatment, crushing, grinding, ore strength characteristics, laboratory testing, modeling, Bond work index, drop weight test, grindability, correlations, design optimization

1. Mosher J., Bigg T. Bench – Scale and Pilot Plant Test for Comminution Circuit Design. Mineral Processing Plant Design Practice and Control Proceedings. Metallurgy and Exploration. 2002. Vol. 1. pp. 123–135.
2. Andreev E. E., Dokukin V. P., Nikolaeva N. V. Otsenka vliyaniya krupnosti pitaniya pri proektirovanii i modelirovanii melnits samo- i polusamoizmelcheniya (Estimation of feed size effect in designing and modeling of autogenous and semi-autogenous grinding mills). Obogashchenie Rud = Mineral processing. 2009. No. 1. pp. 14–16.
3. Verret F. O., Chiasson G., Mcken A. SAG mill testing — an overview of the test procedures available to characterize ore grindability. SGS MINERALS SERVICES, 2011.
4. Gupta A., Van D. S. Mineral Processing Design and Operations. An Introduction. ELSEVIER, 2006. pp. 65–76.
5. Morrell S. Predicting the specific energy of autogenous and semi-autogenous mills from small diameter drill core samples. Minerals Engineering. 2004. Vol. 17.
6. McKen A., Williams S. An overview of the small-scale tests available to characterize ore grindability. International Autogenous and Semiautogenous Grinding Technology. Proceedings of SAG conference Held in Vancouver, B. C. September 23–27, 2006. Vol. 4. pp. 315–330.
7. Starkey J., Meedows D., Senchenko A., Thompson P. SAG Design testing review-case studies. Proceedings of XXIV International Mineral Processing Congress. Beijing, China, September 24–28, 2008. pp. 554–563.
8. Lynch A. J. Tsikly drobleniya i izmelcheniya. Modelirovanie, optimizatsiya, proektirovanie i upravlenie (Mineral crushing and grinding circuits. Their simulation. Optimisation. Design and Control). Translated from English. Moscow : Nedra, 1981. pp. 19–22.
9. Barratt D. J. An update on testing, scale-up and sizing equipment for autogenous and semiautogenous grinding cercuits. SAG Conference. 1989.
10. Aleksandrova T. N., Romashev A. O., Semenikhin D. N. Mineralogo-tekhnologicheskie aspekty i perspektivnye metody intensifikatsii obogashcheniya sulfidnoy zolotosoderzhashchey rudy (Mineralogical-technological aspects and prospective methods of intensification of concentration of sulfide gold-bearing ore). Metallurg = Metallurgist. 2015. No. 4. pp. 53–59.
11. Taranov V. A., Baranov V. F., Aleksandrova T. N. Obzor programm po modelirovaniyu i raschetu tekhnologicheskikh skhem rudopodgotovki (Review of software tools for modeling and calculation of ore preparation flowsheets). Obogashchenie Rud = Mineral processing. 2013. No. 5 (347). pp. 3–7.
12. Aleksandrova T. N., Aleksandrov A. V., Litvinova N. M., Bogomyakov R. V. Basis and development of gold loss reduction methods in processing gold-bearning clays in the Khabarovsk territory. Journal of Mining Science. 2013. Vol. 49, No. 2. pp. 319–325.

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