炼钢厂连铸钢水温度预报模型  

Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process

作　　者：曹永国[1,2] 杨守礼[1,2] 李顶宜 

机构地区：[1]北京科技大学冶金学院,北京100083 [2]钢铁研究总院,北京100081

出　　处：《北京科技大学学报》1997年第2期125-129,共5页Journal of University of Science and Technology Beijing

摘　　要：应用神经网络建立连铸钢水温度预报模型，重点研究了转炉出钢到中间包浇铸区间的温度变化，确定钢水温降与其影响因素之间的非线性映射关系.The regularity of liquid steel temperature during BOF tapping to the tundish process was studied. With the neural network theory, a mathematical model for forecasting the temperature change of molten steel and its non-lineal functional relations with the influencing factors during CC have been established. With this model, the steel temperature in the CC process can be predicted more correctly.

关 键 词：钢水 神经网络 炼钢厂 连铸 温度预报模型 

分 类 号：TF777[冶金工程—钢铁冶金]