节点文献
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
【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。
【Abstract】 The predication models on the end-point carbon content,temperature,phosphorus content and manganese content have been built up respectively by the decarburization 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 Δw(Mn)=±0.02% and Δw(P)=±0.003%,the predicting accuracies of the decarburization model are 87.0% and 81.2% respectively.The highly precise predication model has realized the simultaneous predication on the end-point carbon content,temperature,w(Mn) and w(P),and it provides a good foundation for improving the hit rate of end-point control of the BOF,reducing the number of reblow and carrying out direct tapping.
- 【文献出处】 炼钢 ,Steelmaking , 编辑部邮箱 ,2009年01期
- 【分类号】TF713
- 【被引频次】25
- 【下载频次】500