Prediction model for slag composition in argon oxygen decarbonization refining process of 304 stainless steel
This paper presents a model for predicting slag composition during the 304 stainless steel argon-oxygen decarburization(AOD)refining process.The model considers the effects of top gun oxygen blowing,changes in gas supply ratio,material melting rate,and initial slag amount on the slag-steel reaction and refining slag composition.It is used to calculate the refining process of slag and steel composition changes during the refining process.The slag composition and sulfur content of the molten steel,as calculated by the model,are consistent with the measured values.The average deviation for SiO2 content is 1.434%,for CaO content is 1.848%,for Cr2O3 content is 0.080%,for MnO content is 0.016%,and for S content is 0.002%at the end of the AOD refining.
argon-oxygen decarburization304 stainless steelslag compositionprediction model