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.
出处
《炼钢》
CAS
北大核心
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)
关键词
烟气分析
分阶段修正
碳含量
温度
预报
exhaust gas analysis
correction at different stages
carbon content
temperature
prediction
