DEVELOPMENT AND PRACTICE OF BLAST FURNACE PHYSICAL HEAT INDEX MODEL BASED ON THE HOT METAL SILICON CONTENT AND TEMPERATURE PREDICTION MODEL

摘要

Blast furnace hearth thermal state is one of the most important indexes for the evaluation of blast furnace hearth production status. By analyzing the relevant relationships among the T_c (Coke burning temperature in direct reduction zone), T_f (Theoretical combustion temperature), hot metal temperature and silicon content in hot metal, a mathematical model for the predictions of hot metal temperature and hot metal silicon content has been established, based on which the blast furnace physical heat index model was also put forward. The online calculation of the model was realized and practiced in a blast furnace production by the technologies of data acquisition, processing and programming, which built a high speed information channel of blast furnace hearth thermal state. Practice proved that the model could effectively help foremen to better understand the condition of blast furnace hearth, so that the blast furnace stability, hearth activity and hot metal quality were promoted greatly.