材料与冶金学报2026，Vol.25Issue(2)：115-122,8.DOI:10.14186/j.cnki.1671-6620.2026.02.002
基于响应曲面法的高炉渣黏度预测模型
A prediction model of blast furnace slag viscosity based on response surface methodology
摘要
Abstract
Employing the response surface methodology(RSM)and central composite design(CCD),the effect of binary basicity R2,MgO mass fraction,and Al2O3 mass fraction on the blast furnace slag viscosity has been systematically investigated,and a slag viscosity prediction model has been developed.The results show that R2,w(MgO),and w(Al2O3)all significantly influence slag viscosity,with the order of influence being w(Al2O3)＞w(MgO)＞R2.The established mathematical model(i.e.,prediction model)has a correlation coefficient of 0.979 5,enabling accurate prediction of slag viscosity changes with different factors.When the blast furnace slag has an R2 of 1.19,w(MgO)of 7.79％,and w(Al2O3)of 12.39％,the actual viscosity closely matches the predicted value,with an average error of only 4.30％,proving the model's accuracy and reliability.关键词
高炉渣/黏度/响应曲面法/回归拟合Key words
blast furnace slag/viscosity/response surface methodology/regression fitting分类
矿业与冶金引用本文复制引用
张浩辰,柳政根,佟奎兴,王子钰,张旭..基于响应曲面法的高炉渣黏度预测模型[J].材料与冶金学报,2026,25(2):115-122,8.基金项目
国家自然科学基金项目(52074080). （52074080）
