2012 Volume 52 Issue 9 Pages 1591-1600
The control of molten steel temperature is one of the important parameters for producing the superior quality of steel. Ladle is one of the major vessels to be monitored for controlling this temperature. A computational fluid dynamics (CFD) based mathematical model was developed for temperature prediction of ladles and molten steel. The model was validated with data collected from the plant and maximum 4% deviation between predicted and measured data was noticed. The effect of various parameters on temperature drop of molten steel was studied. The results obtained show low impact of slag thickness, tapping temperature and ladle life. However, the importance of initial refractory temperature was noticed. The CFD model developed in present work can generate the history of temperature drop of molten steel and refractory walls of any ladle at any stage. The model can be utilized to predict the suitable tapping temperature.