Investigation of the possibility of obtaining concentrate production targets based on a mathematical model of an ferrum ore processing site

Исследование возможности получения целевых показателей производства концентрата на основе математической модели участка переработки железной руды
N. V. Osipova
2023-06-30

PI controllerconcentrate qualityiron ore beneficiationmathematical process modelingwet autogenous grinding mill
This paper presents the methodological foundations for the compilation of a mathematical model of the circuits of the apparatus at the concentrating plant. With its help, it is possible to investigate the change in qualitative and quantitative indicators depending on the loading of the mill at the initial stage of grinding and the properties of the ore. The well-known approaches to the creation of enrichment site models based on the use of regression analysis, multilayer artificial and deep neural networks are considered. The works on the study of enrichment schemes using laboratory equipment are also presented, their disadvantages are shown. Lebedinsky mining and concentrating plant with its enrichment site No. 1 (one half-section) was selected as the object of modeling. An automatic control system (ACS) for loading a wet self-grinding mill (MWS) is considered, which includes a proportional integral (PI) regulator for the flow of ore fed from the conveyor. Mathematical models of aggregates of the enrichment site and their parameters for three grades of ores are presented. In the Matlab envferrumment, a study was conducted on its computer model, which consisted in sequentially changing the power assignment of the MWS to the PI controller, which corresponded to a load of 35 % to 50 %. An array of steady-state values of transients of the main indicators of the work of the enrichment site was obtained, on the basis of which static characteristics were constructed reflecting the relationship between filling, capacity and productivity for the initial ore, the finished class, between filling and the total ferrum content in the concentrate, energy intensity. Comparative results are given on the indicators obtained using the model of the enrichment site for various grades of ores while maintaining a constant loading of the MWS mill and choosing its optimal filling. It was shown that maximal productivity is achieved in the second case, for the initial ore (the finished class): the energy intensity is minimal, and the total ferrum content in the concentrate is within the permissible values.
1
A mathematical model was developed for a concentrator-plant processing circuit to predict qualitative and quantitative indicators under varying mill loads and ore properties.
2
Matlab simulations varied mill power corresponding to 35%–50% loading and generated steady-state values for constructing static relationships among mill filling, capacity, productivity, concentrate iron content, and energy intensity.
3
Models and parameters were presented for three ore grades, enabling comparison of enrichment-site performance under constant mill loading and optimally selected mill filling.
4
The abstract states that maximum productivity was achieved when optimal mill filling was selected, compared with maintaining constant mill loading; the reported conclusion is truncated.
5
The modeled system represents Lebedinsky Mining and Processing Plant enrichment site No. 1 and includes a PI controller regulating ore feed to a wet autogenous grinding mill.

Lebedinsky mining and concentrating plant enrichment site No. 1 (one half-section), including its wet autogenous grinding mill circuit and processing of three ore grades

The modeled relationships between mill loading, ore properties and the enrichment site’s qualitative and quantitative performance indicators, including productivity, concentrate iron content and energy intensity

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2023-06-30
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N. V. Osipova
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