Development the automated information system of ladle-furnace process to predict the content of alloying elements in bearing steel

Regression models of chromium, silicon, manganese and carbon content behavior in metal depending on the amount of added carbonaceous materials, ferrosilicomanganese SiMn17, ferromanganese FeMn78, ferrosilicon FeSi65, ferrochromium FeCr800 are obtained as a result of analysis of experimental data for bearing electric steel IIIX15 and IIIX15CΓ-B. These models enable to forecast chemical composition of steel in order to save reducing agents and alloying elements. The structural diagram of automated information system of ladle-furnace is designed according to results of investigations.