Modeling and analysis of temperature drop prediction on techno-interface of BF-BOF route

Abstract

For the problems of heat transfer of hot metal in the process of transporting, pre-desulfurization of iron-making and steelmaking interface, the present work takes the temperature drop of hot metal as research object, and the factors influencing temperature drop of hot metal in the process of transportation at the interface of iron-making and steelmaking were analyzed. A prediction model of molten iron temperature drop based on extreme learning machine was established. The results show that the prediction model can predict the temperature drop of the hot metal in the transportation process of the ironmaking and steelmaking interface. When the absolute error is less than 10 "C , the hit rate of the proposed model is 87%, and the root mean square error is 6. 932. Quantitative analysis of the main factors affecting the temperature drop of hot metal shows that the temperature drop of hot metal is most sensitive to the initial temperature of hot metal.