摘要
合金优化配料模型根据当前钢水中元素实际含量、当前可用的合金料,考虑一定约束条件,采用线性归划的单纯形法解决线性优化问题,计算出达到钢水目标要求的化学元素含量时要加入的合金料料重,并且估算出按计算结果加料后该元素的含量。该模型的计算结果既要达到钢液成分要求,又要使合金料的组合价格费用最低,这样可以降低生产成本。宣钢公司精炼炉采用合金加料模型后,硅、锰、铝元素的预测命中率超过98%,碳元素的预测命中率超过100%,减少了碳锰铁和硅锰合金的加入量。
According to the actual elements content in molten steel and the currently available alloy materials,and a certain constraint condition,the alloy optimal burdening model can adopt the linear regression to achieve the linear optimization,to calculate the alloy material weight which needs to meet the molten steel target's requirement for chemical element content,and to estimate the element content according to the calculated results.The calculation results of the model not only meet the requirements of liquid steel composition,but also make the combined cost of alloy material the lowest,which can reduce the production cost.After the alloy burdening model is used in the refining furnace of Xuansteel refining furnace,the prediction rate of silicon,manganese and aluminum is more than 98%,and the prediction rate of carbon elements is more than 100%,which reduces the addition of carbon manganese and silicon manganese alloy.
作者
刘涛
刘怡生
Liu Tao;Liu YiSheng(No.2 steelmaking plant of HBIS Group Xuansteel Company,Xuanhua,Heibei,075100)
出处
《河北冶金》
2018年第4期43-46,共4页
Hebei Metallurgy
关键词
精炼炉
合金成分预报
配料
模型
应用
refining furnace
alloy composition prediction
ingredient
model
application
