摘要
随着钢铁行业中高附加值钢种产量的不断提高,如何通过过程控制模型,在线优化控制投入合金种类及数量,在保证钢水质量的同时最大限度地降低合金钢的生产成本是各大钢铁企业提高竞争力所要解决的重要问题。首先进行数据预处理,利用距离反比加权算法和拉依达准则对数据插补和剔除,得出计算合金元素收得率的公式,计算出C收得率为80%~100%,Mn的收得率为85%~100%;对七个自变量进行灰色关联度分析,得出影响C、Mn收得率主要影响因素为转炉终点温度和转炉终点C。建立合金最小成本控制模型,求解得到1吨HRB400B的钢产品最低成本为18359.81元,最优配料方案为:2.121988吨的锰硅合金FeMn68Si18 (合格块)、0.1708846吨的硅铁(合格块)和0.01吨的硅钙碳脱氧剂。
With the continuous improvement of the production of high value-added steel in the steel industry, how to optimize the control of the types and quantities of alloys through the process control model, and to ensure the quality of molten steel while maximally minimizing the production cost of alloy steel is the important issues to be addressed by competitiveness for improvement of major steel companies. Firstly, the data preprocessing is carried out, and the data are interpolated and eliminated by using the distance inverse ratio weighting algorithm and the Laida criterion. The formula for calculating the yield of the alloy elements is obtained, and the C yield is calculated to be 80% - 100%, and the Mn is collected. The yield was 85% - 100%. The gray correlation analysis of the seven independent variables showed that the main influencing factors affecting the yield of C and Mn were the converter end temperature and the converter end point C. The minimum cost control model of the alloy is established to obtain that the lowest cost of 1 ton HRB400B steel product is 18359.81 yuan. The optimal batching scheme is: 2.121988 tons of manganese-silicon alloy FeMn68Si18 (qualified block), 0.1708846 tons of ferrosilicon (qualified block) and 0.01 tons of silicon calcium carbon deoxidizer.
出处
《冶金工程》
2019年第4期170-179,共10页
Metallurgical Engineering
基金
唐山市基础创新团队项目(18130209B),河北省大创,华北理工大学大学生创新创业训练计划项目(X2019058)。
