基于转炉烟气分析的熔池碳含量及温度动态预报  

Dynamic prediction of the endpoint carbon content and temperature in the molten bath based on the exhaust gas analysis

作　　者：孙江波[1] 李俊国[1] 王彦杰[2] 李朝阳[1] 

机构地区：[1]河北联合大学冶金与能源学院,河北唐山063009 [2]河北钢铁股份有限公司邯郸分公司,河北邯郸056015

出　　处：《炼钢》2014年第4期65-69,共5页Steelmaking

基　　金：河北省自然科学基金资助项目(E2012401063)

摘　　要：基于烟气分析获得烟气流量及成分,应用碳平衡原理构建的碳积分数学模型可动态预测熔池中的碳含量;对炉气信息延迟性、炉气量、枪位系数和脱碳速率拐点a与b等参数的修正,能够提高熔池碳含量动态预报的精度。在熔池碳含量动态预报的基础上,基于热平衡理论和碳氧反应热力学构建了熔池温度动态预报模型,通过脱碳速率拐点a和b的修正以及分阶段模型的构建,能够提高熔池温度的预报精度。在此基础上采用Visual Basic 6.0和SQL Server 2000数据库构建了熔池碳含量和温度动态预报系统,利用该系统对一定时期的46炉冶炼数据进行了离线运行,结果表明:终点w(C)<0.2%时,预报偏差小于0.02%命中率为84.8%,模型终点温度预报偏差小于20℃命中率为84.8%,C-T双命中率达到73.9%,基本满足冶炼对终点命中率的要求。Based on the gas flow and composition of exhaust gas, which obtained by the exhaust gas analysis, and the carbon integral mathematical model constructed by carbon balance principle, the carbon content in the molten bath could be predicted dynamically. The prediction accuracy of the carbon content in the molten bath dynamically could be improved by the correction on such parameters as the delay time of the exhaust gas information, the volume of exhaust gas, the coefficient of oxygen lance level and the inflection point a and b of the decarburization rate curve. On the basis of dynamic prediction of the carbon content, the dynamic prediction model of the heat temperature could be constructed on the heat balance theory and the reaction thermodynamic between carbon and oxygen. And the prediction accuracy of the molten bath temperature could be improved through the correction of decarburization rate inflection point a and b, and different prediction model constructed according to three different stages. The Visual Basic 6. 0 software and SQL Server 2000 database are employed to develop the dynamic prediction system about the carbon content and temperature in the molten bath. The data of 46 smelting furnaces were run off-line operation by employing this system, and the result of which show that the mass fraction of carbon at the end-point is less than 0. 2 G, the prediction accuracy is 84. 8 % as the deviation of the end-point mass fraction of carbon prediction is less than 0. 02 %, and when the deviation of the end-point temperature is less than 20 ℃, the prediction accuracy is 84. 8 %. On the whole, the C-T double hit rate could reach to 73.9 %, which could basically meet the work-field demand on the end-point prediction.

关 键 词：烟气分析 分阶段修正 碳含量 温度 预报 

分 类 号：TF703[冶金工程—钢铁冶金]