CRITERIA AND MODELS FOR FORECASTING THE DISTRIBUTION COEFFICIENTS OF ELEMENTS IN THE «METAL-SLAG» SYSTEM IN OUT-OF-FURNACE STEEL PROCESSING

Abstract

Based on the analysis of experimental information accumulated in the Metallurgy Data Bank, models were developed to predict the properties of special purpose steels and alloys (chromium-nickel, ferrocarbon steels of wide assortment, aluminum, magnesium, heat-resistant nickel alloys) and domestic ferroalloys. The obtained high accuracy of the forecast (R2 ≥ 0,97) and the stability of analytical expressions was confirmed on data that were not included in the initial samples and by comparison with calculations performed on a well-known foreign software computer complex. Based on the starting positions of the concept of directed chemical bonding and taking into account significant parameters of interatomic interaction of metallurgical melts (slags, steels, additives) in combination with factors of processing technology, we obtained analytical expressions for quantifying the distribution of elements, in particular silicon, manganese in out-of-furnace processing of bearing and structural steels. The research results are recommended for use in industrial conditions in order to scientifically substantiate the choice of alloying additives and targeted formation of the final product, which will reduce energy costs by integrating the developed models into the Automated Control System of Steelmaking Technological Processes.