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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

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【作者】 岳峰包燕平崔衡高圣勇李本海章军

【Author】 YUE Feng1,BAO Yan-ping1,CUI Heng1,GAO Sheng-yong2,LI Ben-hai2,ZHANG Jun2(1.School of Metallurgical and Ecological Engineering,University of Scienceand Technology Beijing,Beijing 100083,China;2.Shougang Research Instituteof Technology,Beijing 100041,China)

【机构】 北京科技大学冶金与生态工程学院首都钢铁集团公司技术研究院

【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.

【关键词】 转炉副枪终点预测模型
【Key words】 BOFsub-lanceend-pointpredication model
【基金】 “十一五”国家科技支撑计划项目(2006BAEO3A06)
  • 【分类号】TF713
  • 【被引频次】25
  • 【下载频次】500
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