Mineral Processing | |
ArticleName | Investigation of the possibility of obtaining concentrate production targets based on a mathematical model of an ferrum ore processing site |
DOI | 10.17580/cisisr.2023.01.01 |
ArticleAuthor | N. V. Osipova |
ArticleAuthorData | University of Science and Technology MISIS (Moscow, Russia): N. V. Osipova, Cand. Eng., Associate Prof., Dept. of Infocommunication Technologies of the Institute of Computer Science, e-mail: nvo86@mail.ru |
Abstract | 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. |
keywords | Ore enrichment, mathematical model, Matlab, Excel, regression analysis, productivity, energy intensity, total ferrum, concentrate, PI-controller |
References | 1. Tsygankov Yu. A. Development of the technique for hybrid neural prediction of ferrum content for improvement of automatic process control system if iron ore concentrate. Dissertation … of a Candidate of Technical Sciences. Staryi Oskol Technological Institute MISiS. Staryi Oskol. 2021. 176 p. |
Full content | Investigation of the possibility of obtaining concentrate production targets based on a mathematical model of an ferrum ore processing site |