Irkutsk National Research Technical University, Irkutsk, Russia

A. E. Burdonov, Associate Professor of the Department of Mineral Processing and Environmental Protection named after. S. B. Leonov, Candidate of Technical Sciences, e-mail: slimbul@inbox.ru
Yu. V. Novikov, Postgraduate Student of the Department of Mineral Processing and Environmental Protection named after. S. B. Leonov, e-mail: 89500505553r@gmail.com
N. D. Lukyanov, Associate Professor, Institute of Information Technologies and Data Analysis, Candidate of Technical Sciences, e-mail: lukyanov.n@gmail.com

The work is devoted to processing the results of pilot studies of the applicability of Knelson CVD technology on factory products, using the method of group accounting of arguments, to obtain dependencies between the concentrate yield and customizable parameters, allowing preliminary calculations on the efficiency of implementing this technology at processing plants. The relevance of the research is due to the acquisition of new knowledge about the dependencies between the technological parameters of centrifugal concentrators operating using Knelson CVD technology, namely: setting the valve opening frequency and the time during which the valves remain open. Objects of research: products obtained as a result of the operation of hydrocyclones, as well as technological parameters of the operation of centrifugal concentrators. Research methods: This work uses general methods of mathematical statistics, in particular methods of regression analysis, aimed at building statistically significant models that describe the dependence of some variable on a variety of regressors. Also, along with the classical apparatus of regression analysis, the method of group accounting of arguments is used, the main idea of which is to build a set of models of a given class, and select the optimal one among them. Research results. An effective method for processing the results of tests carried out on enrichment equipment has been developed, based on the method of group accounting of arguments. Based on the data obtained, statistically significant models were constructed that describe the dependence of the yield of tailings and concentrate for valuable components on various adjustable equipment parameters, and their effectiveness was substantiated, allowing the use of these models in further research on the use of CVD technology. The work demonstrates the use of the method of group accounting of arguments, using the example of constructing polynomial regression models containing nonlinear combinations of regressors.

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