基于副枪控制的转炉终点预测模型  

Sub-lance control-based predication model for BOF end-point

作　　者：岳峰[1] 包燕平[1] 崔衡[1] 高圣勇[2] 李本海[2] 章军[2] 

机构地区：[1]北京科技大学冶金与生态工程学院,北京100083 [2]首都钢铁集团公司技术研究院,北京100041

出　　处：《炼钢》2009年第1期38-40,59,共4页Steelmaking

基　　金：“十一五”国家科技支撑计划项目(2006BAEO3A06)

摘　　要：利用转炉吹炼末期脱碳指数方程、热平衡和热力学方程分别建立了转炉终点碳、温度、磷和锰的预报模型。终点碳质量分数预报误差为±0.015%的命中率达到87.6%;转炉终点目标w(C)=0.03%时,温度误差范围±10℃的比率为85.4%;模型预报钢中w(Mn)误差在±0.02%、w(P)误差在±0.003%范围的比率分别达到了87.0%和81.2%。建立的预报模型具有较高的精度,实现了转炉终点碳、温度、残锰和磷的同时预报,为提高转炉的终点控制命中率、减少补吹的次数、实现直接出钢打下良好的基础。The predication models on the end-point carbon content, temperature, phosphorus content and manganese content have been built up respectively by the deearburization index equation, the thermal equilibrium and the thermo-dynamical equation at the end point of the converter oxygen blow process. When the error of end-point carbon content is ±0.015 %, the predicting accuracy of the decarburization model arrives at above 87.6% ; when the end-point carbon content of BOF is 0.03% the rate of the error of end-point temperature below 10℃ is 85.4%; When the error of end-point carbon and temperature is △w（Mn） = ±0. 02% and △W（P） = ±0. 003%, the predicting accuracies of the decarburization model are 87. 0% and 8l.2% respectively. The highly precise predication model has realized the simultaneous predication on the end-point carbon content,temperature , Ze（Mn） and W（P） and it provides a good foundation for impro- ving the hit rate of end-point control of the BOF, reducing the number of reblow and carrying out direct tapping.

关 键 词：转炉 副枪 终点 预测模型 

分 类 号：TF723[冶金工程—钢铁冶金]