Application of mathematical modeling in the development of technology for processing technogenic raw materials for electric steel melting production

The production of steel in electric furnaces is a large-scale metallurgical production, which results in the formation of man-made waste - dust. This type of waste contains valuable metals (iron and zinc), which requires the development of technologies for its processing in order to extract valuable elements into independent products. When developing pyrometallurgical technology for processing dust, mathematical modeling methods were used to analyze the physicochemical interactions of the charge components (dust and fluxes) during smelting in a ring furnace and select the optimal temperature regime and ratio of raw materials. The object of the research was samples of iron-zinc-containing dust from PJSC Magnitogorsk Iron and Steel Works. It has been shown that iron and zinc in dust are contained in the formof ZnO.Fe2O3, but most of the zinc is in the form of ZnO. The recovery process model was created using the Selector software package and is represented by 7 tanks simulating different zones of a ring furnace. 21 independent components (elements) were introduced into the model, corresponding to the chemical composition of raw materials, fluxes and air: Al, C, Ca, Fe, K, Mg, N, Na, P, S, Si, Ti, Mn, Cu, Pb, Ni, Cl, Cr, Zn, H, O. The results of laboratory studies confirmed the modeling data on the chemical composition ofgranulated cast iron and condensed zinc oxide and their extraction into these target products. A technologi-cal scheme for processing technogenic raw materials of electric furnace production was developed and proposed. The proposed technology will make it possible to use the resulting granulated cast iron as a substitute for metal scrap in the production of steel in electric furnaces, which meets the development strategy of the Russian ferrous metallurgy for the period 2014-2022 and for the future until 2030.