Abstract：The primary slag and the intermediate slag of the blast furnace had complex compositions and were especially rich in FeO. Aiming at these problems, the viscosity of the CaO-SiO2-Al2O3-FeO-MgO melt was investigated as well as the influencing laws of each component to viscosity. Then a viscosity prediction model was established on the basis of WEB-based neural network-genetic algorithm (ANN-GA) system. Verification result of this model indicates that the error of this model is basically within 20% which is acceptable. The univariate analyses attained by the ANN-GA system are well consistent with literature results.
侯利明,刘丽丽，张作泰,王习东. 高FeO渣系黏度的试验研究及预报模型[J]. 钢铁, 2012, 47(7): 20-25.
HOU Li-ming，LIU Li-li，ZHANG Zuo-tai，WANG Xi-dong. Experimental Research and Prediction Model on Viscosity of High FeO Content Slag. Iron and Steel, 2012, 47(7): 20-25.
2012, Vol. 47 
