2016-Sustainable Industrial Processing Summit
SIPS 2016 Volume 5: Starkey Intl. Symp. / Mineral Processing
| Editors: | Kongoli F, Kumar P, Senchenko A, Klein B, Silva A.C., Sun C, Mingan W |
| Publisher: | Flogen Star OUTREACH |
| Publication Year: | 2016 |
| Pages: | 270 pages |
| ISBN: | 978-1-987820-44-7 |
| ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
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Investigation Of Ore Properties By Design Of Cycles Of Ore Preparation
Nadezhda Nikolaeva1; Tatyana Aleksandrova2;1NATIONAL MINERAL RESOURCES UNIVERSITY, St. Petersburg, Russian Federation; 2NATIONAL MINERAL RESOURCES UNIVERSITY, Sain-Peterburg, Russian Federation;
Type of Paper: Regular
Id Paper: 122
Topic: 5
Abstract:
Design and operation of efficient ore preparation cycle require a detailed study of strength properties and characteristics of ore. There are many methods for estimation of grindability ore. Selection of procedure depends on method and approach to the design and type of projected scheme. Basic indexes and parameters of existing techniques are described in the article. This information allows to determine mechanical properties of ore, and gives a brief description. At present, tests to determine the energy indexes (the index definition by F. Bond and «Drop-weight» test) are among the most popular in the world of research to assess the strength properties of the ore in the laboratory. Combinations of crushing cycles, SAG, classification, and secondary grinding can be modeled. Requirements in the crushing energy are estimated by the results of the drop weight test, and power consumption for SAG may be determined by the results of the simulation. Modeling can also be used in the design of new cycles, check of different configurations of the scheme and improve of choice equipment. The database of laboratory research of grindability of various types of ores was collected for analysis and identification of mathematical dependencies between the parameters of drop weight tests and Bond indexes. Statistical analyzes were performed, graphs were constructed and equation of dependencies were obtained. These dependencies shown good convergence between the parameters, which characterizes the impact strength of (A ∙ b), the ability to abrasion (ta), and the ball grinding work index. This leads to a significant reduction in deadlines on phase of the study of characteristics of ores.
Keywords:
Characterization; Efficiency; Mineral; Modeling; Ore; Technology;References:
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