RH处理超低碳钢中总氧含量预报模型
秦哲 孙彦辉 蔡开科
北京科技大学 北京科技大学冶金与生态工程学院 北京科技大学冶金与生态工程学院
A Model for Predicting Inclusion Content of Steel in the Process of RH Treatment
qin-zhe SUN Yan-Hui
摘要 根据300t钢包RH真空处理超低碳铝镇静钢工业生产数据，建立了RH处理过程钢中总氧含量（即氧化物夹杂含量）的预报模型。本模型综合考虑了RH脱碳结束时钢中的初始氧[O]0及钢包渣中（%FeO+%MnO）含量、吹氩流量、真空度、处理时间等因素的影响。模型计算值与实测值误差在±3.5～8%，说明该模型是可信的。利用本模型分析讨论了RH操作过程的工艺因素对钢水总氧含量的影响，对生产具有一定的指导意义。
关键词 ：
RH处理 ,
[O]t ,
铝镇静钢 ,
预报模型
Abstract ：Based on the industrial production data about ultra-low-carbon Al-killed steel produced by RH(300t ladle) vacuum treatment, a prediction model is built for total oxygen content, namely the quantity of inclusions in steel in RH process. Different influence factors are considered such as: initial oxygen content [O]0，(FeO+MnO)% in slag, flow rate of argon blowing, vacuum degree, treatment time and so on. The error between the calculated values and the measured values is ±3.5~8%, which indicates that this model is reliable. It has a certain guidance to the practical production that analyzing the influences of technological factors in RH process on the total oxygen content in molten steel by this model.
Key words ：
RH treatment
[O]t
Al-killed steel
model
收稿日期: 2008-11-19
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