脱碳模型在宝钢RH精炼的应用  

Application of Decarburization Model on Baosteel RH Refining Furnace

作　　者：马志刚[1] 谢树元[2] 杜斌[2] 侯安贵[1] 周继刚[1] 

机构地区：[1]宝钢股份炼钢厂,上海201900 [2]宝钢股份研究院自动化所,上海201900

出　　处：《中国冶金》2009年第10期1-3,共3页China Metallurgy

摘　　要：介绍了宝钢RH动态脱碳模型的基本原理及在线应用情况,其投用对促进RH的高效处理及自动化水平发挥了一定的作用,该模型综合了自动控制技术、数值分析、真空脱碳原理与专家知识研究,实现了对钢水中碳含量的准确预测,模型预测值与分析值绝对偏差≤8×10-6的命中率为85.7%。The basic principles and on-line application of Baosteel RH dynamic decarburization model is introduced in this paper, which voted with the promotion of RH treatment and the efficient level of automation has played a certain role, the model combines the knowledge of automatic control, numberical analysis, the principle of vacuum decarburization expert knowledge and research, it achieved to predict the carbon content of molten steel aecuratly. The hit ratio attain 85.7% that the absolute value of the margin between the model ealculated and measured values is little than 8×10^-6.

关 键 词：RH精炼 动态脱碳模型 过程控制 

分 类 号：TF769[冶金工程—钢铁冶金]