VD真空精炼温度预报模型  

Temperature Forecast Model of VD Vacuum Refining

作　　者：赵成林[1] 张维维[1] 李德刚[1] 王丽娟[1] 李广帮[1] 

机构地区：[1]鞍钢股份公司技术中心,辽宁鞍山114001

出　　处：《钢铁研究学报》2011年第12期9-12,共4页Journal of Iron and Steel Research

摘　　要：开发了较为完善的VD终点温度在线预报系统。采用MINITAB软件确定影响VD过程温降的主要因素为抽真空时间、保压时间、吹氩时间、非真空时间、VD搬入钢水的过热度、LF处理时间以及转炉出钢至VD初始测温之间的钢包运输时间。应用神经网络方法对VD处理终点的钢水温度进行在线预报,系统在线连续预报了95罐,预报温度与实际测量温度之差在±5℃范围内的比例达到93.7%。The perfect VD end-point temperature on-line forecast system was established.The main factors that influenced the VD process temperature drop were found out by MINITAB software,such as pumping time,vacuum keeping time,argon-blowing time,normal time,VD original superheat degrees,LF treatment time and ladle transferring time from converter to the first temperature measurement of VD.The forecasting system was applied to forecast the VD end-point temperature on-line based on the neural network method.For continuous 95 heats,the forecast accuracy for the difference less than 5℃ between the forecasting temperature and measured temperature is up to 93.7%.

关 键 词：VD 温度模型 在线预报 神经网络 

分 类 号：TF769.4[冶金工程—钢铁冶金]