Abstract
A continuous prediction model of carbon content of 120 t BOF is established in this paper. Based on the three-stage decarburization theory and combined with the production process of 120 t converter, the effects of oxygen lance height and top blowing oxygen flow rate are also considered in the model. The explicit finite difference method is used to realize continuous prediction of carbon content in the converter blowing process. The model parameters such as ultimate carbon content in molten pool are calculated according to the actual data of 120 t BOF, which improves the hit rate of the model. Process verification and end-point verification for the continuous prediction model have been carried out, and the results of process verification indicate that the continuous prediction model established in the paper basically accords with the actual behavior of decarburization. Moreover, the hit ratio of the continuous prediction model reached 85% for the prediction of end-point carbon content within a tolerance of ±0.02%.
Highlights
IntroductionConverter steelmaking is the main steelmaking production mode in China. Due to the limitation of scrap shortage, converter steelmaking will be dominant for a long time [1]
State Key Lab of Advanced Metallurgy, University of Science & Technology Beijing, Beijing 100083, China; Abstract: A continuous prediction model of carbon content of 120 t BOF is established in this paper
Oxygen efficiency, wt%/kg; vOxygen classical three-stage decarburization theory does consider is theThe amount of oxygen entering the molten pool per unitnot time, kg/s. the effect of oxygen blowing process on decarburization reaction
Summary
Converter steelmaking is the main steelmaking production mode in China. Due to the limitation of scrap shortage, converter steelmaking will be dominant for a long time [1]. The statistical model and neural network model are difficult to realize the continuous prediction of carbon content in molten pool. Based on the three-stage decarburization principle and combined with the specific production process of 120 t converter in an iron and steel enterprise in China, the continuous prediction model of carbon content considering the influence of oxygen lance height and oxygen flow rate is established. The model parameters such as ultimate carbon content of molten steel are calculated according to the enterprise data. This model is more practical for many iron and steel enterprises lacking testing equipment
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