Issue |
E3S Web of Conf.
Volume 381, 2023
International Scientific and Practical Conference “Development and Modern Problems of Aquaculture” (AQUACULTURE 2022)
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Article Number | 01053 | |
Number of page(s) | 9 | |
Section | Agriculture, River Ecosystems and Environment | |
DOI | https://doi.org/10.1051/e3sconf/202338101053 | |
Published online | 14 April 2023 |
Statistical distributions for modeling mineral liberation
1 Branch of Murmansk Arctic State University, 29, Lesnaya Street, Apatity, 184209, Russia
2 Mining Institute of the KSC RAS, 24, Fersman Street, Apatity, Murmansk region, 184209, Russia
* Corresponding author: remnik@yandex.ru
Using the algorithm and the results of laboratory studies on grinding of loparite ores from the Lovozero deposit in a ball and rod mill, simulation grinding models were designed based on the transformation of a discrete function of the density distribution of outputs of mineral particle size classes. The model’s adequacy was quantitatively analysed carried out by calculating the determination coefficient without taking into account the constant component of the distribution; for a qualitative assessment of the result the authors used the Cheddock scale. The authors studied the minerals disintegration at ball and rod grinding with the following verification of the proposed algorithm. To identify the distribution of loparite by size classes in the initial ore samples and in the samples obtained in the disintegration taking place at different productivity, the X-ray diffraction analysis and the combined (weight, optical and geometric) methods were used.
© The Authors, published by EDP Sciences, 2023
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