摘要
在河北钢铁集团唐钢公司RH生产实绩的基础上,采用多元线性回归的计算方法,建立了RH精炼铝脱氧过程钢水溶解铝含量的预报模型。模型计算结果表明,RH脱碳结束后钢水中的溶解氧含量越高,脱氧后钢水中的溶解铝含量越低;适当高的钢水温度有利于提高钢水溶解铝含量;随钢水脱氧加铝量的提高,钢水中的溶解铝含量逐渐增大。钢水溶解铝含量的实测值基本围绕着预报值波动,模型较好地预测了河北钢铁集团唐钢公司RH精炼铝脱氧后钢水中的溶解铝含量,研究开发的模型可信。
Based on productive performance of RH refining in Tangsteel, a predicting model of dissolved aluminum content in M-killing stage has been constructed with multiple linear regression analysis. The results show that after decarbonization in RH the higher the dissolved oxygen content in the liquid steel the lower the dissolved aluminum in the liquid steel after deoxidation; properly high temperature of the liquid steel is favorable for increase of the dissolved aluminum content in the liquid steel; and with the increase of the aluminum addition into the liquid steel in hot metal deoxidation the dissolved aluminum in liquid steel grows up. The on-site measured value of the dissolved aluminum in liquid steel basically fluctuates around the predicted value. The model can successfully predict the dissolved aluminum in liquid steel after Al-killing in RH refining in Tangshan Steel Corporation of Hebei Iron ＆ Steel Group and thus this newly developed model is credible.
出处
《炼钢》
CAS
北大核心
2013年第2期42-44,共3页
Steelmaking
关键词
预报模型
溶解铝含量
RH精炼
脱氧过程
prediction model
dissolved aluminum content
RH refining
deoxidized process
