Development of a Predictive Sulphide Capacity Model for Ladle Desulphurization

摘要

Although the quality of raw materials such as scrap, iron ore. coke and coal is degrading, the demand for high quality end products is rising. Hence, the need of the hour is to efficiently process highly impure raw materials to manufacture final products wilh low impurities Except for a few steel grades (for eg., ball bearing steel where the sulphide precipitates aid the cutting operation), sulphur is considered to be 8 major impurity as it increases brittlcness and decreases weklability and corrosion resistance of steel. In particular, sulphide capacity, which is a measure of the sulphur removing power of the slag. is an important metric which should be optimized. Often it has been noticed that the partition of sulphur between steel and slag In industry is quite different that that predicted by previously developed models. The desulphurization of liquid steel with ladle refining slag is one of the most: important refining reactions in the entire steelmaking process. Usage of empirical correlations is still prevalent in plant operations, even though they are unable to help us attain proper process control. Attainment of better hit rates (probability of attaining aim-final steel composition) is crucial, more so during production of very low sulphur grades.