基于烟气成分分析的电弧炉炼钢脱碳模型  

Decarburization model of EAF steelmaking based on fume composition detecting

作　　者：何春来[1] 朱荣[1] 董凯[1] 王广连[1,2] 李猛[1,2] 王学利 

机构地区：[1]北京科技大学冶金与生态工程学院,北京100083 [2]莱芜钢铁股份有限公司特殊钢厂,莱芜271104

出　　处：《北京科技大学学报》2010年第12期1537-1541,共5页Journal of University of Science and Technology Beijing

基　　金：国家自然科学基金资助项目(No.50974013)

摘　　要：为了连续地预测电弧炉熔池中碳含量,实现对冶炼终点碳含量的控制,以红外烟气分析技术和物质质量守恒计算为基础,结合入炉总碳量和供氧量等生产数据,建立了电弧炉炼钢脱碳数学模型.对莱芜钢铁股份有限公司特殊钢厂50tUHP电弧炉实际冶炼数据的模拟计算表明,该模型能实现对熔池碳含量的连续预测和终点控制.模拟计算结果还表明,电弧炉冶炼过程中,脱碳速度主要受供氧流量的影响,最大可达0.12%～0.16%min-1.该模型用于电弧炉供氧优化后,氧气消耗明显降低.A mathematical model of decarburization in EAF steelmaking was constructed to predict the variation of carbon content in the bath continuously and control the terminal point of carbon content on the basis of the technology of fume composition infrared detecting,calculations of mass balance and production data such as carbon amount and oxygen flow.The simulated results of production data form the 50 t UHP EAF in Special Steel Plant of Laiwu Iron and Steel Co.Ltd.indicate that this model achieves its aim to continuously predict and terminally control carbon content in the molten bath.It is also shown that the decarburization rate which can achieve 0.12% to 0.16% min^-1 is mainly influenced by oxygen flow rate.This model can be used for oxygen supply optimization to reduce oxygen consumption.

关 键 词：电弧炉 炼钢 脱碳 数学模型 烟气 供氧 

分 类 号：TF741[冶金工程—钢铁冶金]