基于响应曲面法的高炉渣黏度预测模型OA
A prediction model of blast furnace slag viscosity based on response surface methodology
利用响应曲面法(RSM),借助中心复合设计(CCD),系统探究了高炉渣二元碱度(R2)、MgO质量分数和Al2O3质量分数对其黏度的影响,并构建了高炉渣黏度预测模型.研究结果表明,R2、w(MgO)和w(Al2O3)均对高炉渣黏度影响显著,影响程度排序为w(Al2O3)＞w(MgO)＞R2.建立的三次数学模型(即预测模型)相关拟合系数达0.979 5,能精准预测高炉渣黏度随各因素的变化.在高炉渣R2为1.19、w(MgO)为7.79％、w(Al2O3)为12.39％的条件下,其实际黏度与模型预测黏度高度接近,平均相对误差仅为4.30％,充分证明了模型的准确性与可靠性.
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.
张浩辰;柳政根;佟奎兴;王子钰;张旭
东北大学冶金学院,沈阳 110819||东北大学多金属共生矿生态化冶金教育部重点实验室,沈阳 110819东北大学冶金学院,沈阳 110819||东北大学多金属共生矿生态化冶金教育部重点实验室,沈阳 110819东北大学冶金学院,沈阳 110819||东北大学多金属共生矿生态化冶金教育部重点实验室,沈阳 110819鞍钢集团矿业有限公司东鞍山烧结厂,辽宁鞍山 114041抚顺新钢铁有限责任公司技术中心,辽宁抚顺 113001
矿业与冶金
高炉渣黏度响应曲面法回归拟合
blast furnace slagviscosityresponse surface methodologyregression fitting
《材料与冶金学报》 2026 (2)
115-122,8
国家自然科学基金项目(52074080).
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