摘要
喷吹法是近年来广泛使用的铁水预脱硫方式,针对攀钢喷吹法铁水预脱硫工艺过程,建立了基于神经网络的脱硫剂加入量预报模型,利用攀钢铁水预脱硫的现场生产数据对模型进行了训练和仿真测试,并在炼钢厂进行了模型的现场应用试验。试验结果表明:应用预报模型进行脱硫生产的试验炉次,脱硫后铁水中硫含量可以满足实际生产过程对终点硫的要求,模型可以用于指导生产实践。
Injection desulfurization is widely used in hot metal pretreatment, based on the injection desulfurization process in China Panzhihua Iron & Steel Co. , the desulfurizer addition prediction model based on neural network was established. Then the data of hot metal pre-desulfurization in production filed were used to train and test. Then the predicted model was applied in productive process. The results showed that, end - point sulfur content of trial furnaces for hot metal pretreatment process, had satisfiable to require of actual production process. The model had access to guide practical production.
出处
《四川冶金》
CAS
2011年第4期15-18,共4页
Sichuan Metallurgy
关键词
铁水预脱硫
神经网络
预报模型
hot metal pre-desulfurization, neural network, prediction model