Abstract :
BOF steelmaking process accounts for more than 60% of world steel production. Con trol of this process is very much challenging due to its complex nature involving multicomponent, multiphase systems. A dynamic control model which can account for such interconnected phenomena and thermo-chemical behavior of various reactions is required to understand the process in a better way. Therefore in the present work, we are developingsuch model to predict the behavior of the process in terms of transient composition, temperature and volumes of liquid steel, slag and top gases involving multi-reactor model based upon thermodynamics of chemical reactions and their mass/heat transfer governed kinetic limitations. Using this model, we have predicted the effects of the variation in oxygen on the final hot metal, slag, top gas, and post-combustion ratios.In this work we have used four reactors to describedthe overall basic oxygen steel making process namely two are non-equilibrium chambers and two adiabatic reactor which are interconnected with each other. We usedthe macro prog ramming facility of FactSage™ software to understand the thermochemical model of basic oxygen steel making process. The model has been validated with respect to the plant data for the hot-metal, slag, and top gas composition and post combustion ratio which is similar to BOF steel making process in industry. Later on this model will also be integrated with other associated phenomena like flux dissolution, scarp dissolution and also the heat loss calculation during the process via conduction through refractory lining followed by convection/radiation from outside wall as well as radiation losses from top open mouth of the vessel. The final objective of this model is to develop and validate it with industrial data so that it can be used as a guiding tool for real industrial operation of BOF steelmaking process in an efficient manner.