铁水硅含量预报模型的设计与实现

详细信息

刊出日期: 2018-06-01

Design and Application of the Predicting Model for Silicon Content of Melted Iron

Publish Date: 01 June 2018

摘要: 本文以炉料装入情况、高炉综合煤气成分分析和渣铁温度作为基本参数,建立铁水硅含量预报模型,导出生铁硅含量的计算公式,并采集现场生铁硅含量实测数据,计算出的硅含量.结果表明,该模型预测的硅含量与实测硅含量一致.该模型可以实现早预报、快预报和准确预报,有助于实现高炉冶炼过程的控制.
- 铁水硅含量 /
- 预报 /
- 模型 /
- 计算
Abstract: In this paper, considering the burden loading situations of the blast furnace the combined compositions of gas and the temperature of slag and iron, the models for predicting the silicon content of melted iron were established. The equations about the variation of the silicon content of melted iron were developed. The results show that the silicon content predicted by the model is consistent with the measured silicon content. The model which has earlier and more accurate predicting can be obtained. It is more useful for the controlling of the smelting process in the blast furnace.