摘要
随着高炉大型化、富氧喷吹技术的发展,焦炭在高炉中的骨架作用愈加重要,钢铁企业迫切要求提高焦炭质量,为此需建立一组准确的焦炭质量预测模型,以更好地指导炼焦生产.在分析总结了国内外焦炭质量预测模型的基础上,对小焦炉实验数据进行了分析与回归,通过线性加修正的方法建立炼焦配煤数学模型,得到了焦炭灰分、硫分、机械强度(M40,M10)和热性质(CRI,CSR)的预测模型.通过实际生产进行了验证,模型的预测值与实测值间的误差均在6%以下,能很好地满足实际生产需求,为焦化厂快速准确得到配煤方案提供了理论依据.
Metallurgical coke as the permeable backbone in furnace becomes more and more important with increasing capacity of blast furnace and developing technique of pulverized coal injection for oxygen-enriched melting. Coke quality is urgently required to improve in iron plants, and a set of accurate coke quality prediction models is therefore developed for coke production on the basis of comparison and analysis of existing relevant prediction models. By the analysis and regression of experimental data from a small-size coke oven in combination with linearization and empirical modification, the mathematical models of blending are developed for coking process, thus obtaining the prediction models of coke ash/sulfur, mechanical properties （M40/M10） and thermal properties （CRI/CSR）. Errors between prediction and measurement are below 6%, available to meet production demand for coke making and provide theoretical foundation for exact coal blending.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第3期373-377,共5页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金-钢铁联合基金资助项目(50374036)
关键词
焦炭质量
焦炭强度
焦炭热性质
逐步回归
预测模型
coke quality
coke strength
coke thermal property
stepwise regression
prediction model
