摘要
根据最优化理论及方法,利用高炉炉渣性能与炉渣各组元之间的回归关系,结合MATLAB强大的数据处理功能,设计了高炉渣系成分的多目标优化方法,并将其应用于马鞍山钢铁股份有限公司中型高炉炉渣组元的优化,得到了炉渣组元的优化值:CaO38%,MgO12%,Al2O313%和SiO234%,二元碱度R2=1 12。为高炉操作和炉料结构的合理化提供了重要依据。
Using of the regression relationship between the slag performance of a blast furnace and each composition, a multi-objective optimization method for the slag composition in blast furnace was designed by utilizing the MATLAB language′s powerful data processing function. This method was used for the multi-objective optimization of blast furnace slag at Magang, and the optimizing values for each constituent were obtained, as follows: CaO 38 %, MgO 12 %, Al_2O_3 13 % and SiO_2 34 %.
出处
《钢铁研究学报》
CAS
CSCD
北大核心
2004年第4期18-20,共3页
Journal of Iron and Steel Research
关键词
高炉
炉渣
组元优化
MATLAB
blast furnace
slag
composition optimization
MATLAB
