Optimal Matching of Thermodynamics Behavior of Iron Tailings during BF molten slag conditioning Process

In order to study and optimize the matching relationship between different iron tailings and blast furnace slag during conditioning process,the effect of iron tailings in different proportions on the thermodynamic system of blast furnace slag had been predicated by using the software Fact Sage 7.0 based on the heat balance principle and mathematical model,and the melting temperature of the blast furnace slag with iron tailings as conditioning agent had been calculated through three spline interpolation algorithm.Meanwhile,the temperature drop of blast furnace slag system in different acidity at different temperature had been determined.The optimal matching between different ratio of modifying agent of iron tailings and thermal compensation had been simulated and predicated by using genetic optimization of grey neural network algorithm.