Abstract：Abstract：BOF steelmaking is a very complex physical chemistry process; it is hard to achieve the target value of end-point by manual control. Multiple reblowing operations were usually necessary to taping off. Based on analyzing the influence major factors of phosphorus end-point in converter, the dominative factors of prediction model of end-point for Conrerter smelting were fixed in this paper. A prediction model of end-point phosphorus content for BOF process is established based on Levenberg-Marquardt(LM) algorithm of BP neural network. The results show that the phosphorus content of end-point hitting rates could be reached 90% if the accuracy of target error were±0.002%.
2011, Vol. 46 
