LF精炼渣动态预估模型

›› 2015, Vol. 31 ›› Issue (5): 16-20.

LF精炼渣动态预估模型

张春宇¹,王文平²,张立志²,谷义新²,张国斌²

1. 首钢通钢股份公司第二钢轧厂
2. 首钢通钢股份公司

收稿日期:2015-04-07 修回日期:2015-05-10 接受日期:1900-01-01 出版日期:2015-10-05 发布日期:2015-10-05
通讯作者: 张春宇 E-mail:zhang0chunyu@126.com

Dynamic estimation model of LF refining slag

Received:2015-04-07 Revised:2015-05-10 Accepted:1900-01-01 Online:2015-10-05 Published:2015-10-05

摘要/Abstract

摘要： 为了预估LF所加物料对精炼渣化学组成、渣量和渣料成本等的影响，根据元素守恒定律，对某钢厂75t LF所加物料成分、钢样和渣样化验结果进行了计算，得到元素的挥发率和溶解率。通过假设简化计算，得到渣系、渣量和渣料成本与各物料加入量的关系，并利用VisualBasic软件进行编程，实现了程序动态预估精炼渣化学组成、渣量和渣料成本。生产验证结果表明，CaO，SiO2，Al2O3，MgO，渣量，渣料成本的预估值与实际值的绝对误差分别为-3.17%~3.61%，-0.97%~1.44%，-2.69%~0.46%，-1.59%~2.49%，-10~70kg，-0.7~0.7元/t。使用LF预估模型对45号钢精炼渣进行了优化，使渣料成本节约了7.4元/t。

关键词: LF, 精炼渣, 动态预估

Abstract: In order to estimate the effect of LF feeding materials on chemical compositions of refining slag, slag mass and slag materials cost, based on the element conservation law, the feeding materials’ components and the sample analysis results of steel and slag of the 75t LF in a certain steel plant were calculated, and the volatilization rate and dissolution rate of each element were obtained. To simplify calculations, some assumptions were made, then the relationships of the slag compositions, slag mass and slag materials cost with feeding materials mass were deduced and programmed using the VisualBasic software, and dynamic estimations on chemical compositions of refining slag, slag mass and slagging materials cost were achieved with the programmed model. The industrial verification results showed that the absolute errors between estimation values and real values of CaO, SiO2, Al2O3, MgO, slag mass and slag materials cost were -3.17%~3.61%, -0.97%~1.44%, -2.69%~0.46%, -1.59%~2.49%, -10~70kg and -0.7~0.7yuan/t respectively. The 45 steel’s refining slag was optimized with the LF estimation model, and the slag materials cost was decreased by 7.4yuan/t.

Key words: ladle furance, refining slag, dynamic estimation

中图分类号:

TF769.2

张春宇王文平张立志谷义新张国斌. LF精炼渣动态预估模型[J]. , 2015, 31(5): 16-20.

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