摘要
高炉铁水中的硅含量不仅是衡量产品质量的一个重要指标,而且反映了高炉能量利用的好坏。铁水硅含量的准确预测,能够指导高炉配料和高炉冶炼操作,实现降低铁水硅含量的目的。根据硅还原的机理从热力学和动力学方程出发,经推导得出了铁水中硅含量的预测模型,并结合高炉物料平衡及热平衡计算,编制成高炉铁水硅含量的预测系统。将实际高炉的原料条件及操作参数输入系统,得到了高炉铁水硅含量的预测值。该预测值与实测值相比,误差范围小,命中率高。从而表明该预测系统在实际运用中具有可靠性。
Hot metal silicon content in blast furnace is a main parameter by which product quality is measured and energy utilization ratio of blast furnace is reflected.The precise predicted results of hot metal silicon content can be used to direct batch operation and smelting operation of blast furnace.And the purpose of reducing hot metal silicon content is realized.The equations of thermodynamics and dynamics were deduced based on the reduction mechanism of silicon. And the predicting model of hot metal silicon content was obtained.With this model and the calculation methods of blast furnace's materiel and energy balance,the predicting system of hot metal silicon content was programmed.Real materiel conditions and operation parameters wre inputted into the system.And predicted values of hot metal silicon content were gained.Compared with measured values the deviations of predicted values were small.So it is testified that this predicting system has credibility in practice.
出处
《重庆大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2005年第3期44-46,共3页
Journal of Chongqing University
基金
国家自然科学基金资助项目(50174060)
关键词
硅含量
预测系统
高炉
热力学
silicon content
predicting system
blast furnace
thermodynamics