基于数据挖掘的带钢冷轧机轧辊热凸度的研究  

Study on roll thermal crown in steel strip cold mill based on data mining

作　　者：刘涛[1,2] 张伟 

机构地区：[1]河北省重型机械流体动力传输与控制重点实验室,河北秦皇岛066004 [2]先进锻压成形技术与科学教育部重点实验室,河北秦皇岛066004

出　　处：《钢铁研究学报》2015年第11期43-47,53,共6页Journal of Iron and Steel Research

基　　金：河北省自然科学基金钢铁联合资助项目(E2013203126)

摘　　要：在带钢冷轧中,轧辊的热凸度变化会影响厚差及板形质量。然而轧辊热凸度通常难以在线检测。通过建立横向厚差方程,进行热凸度溯源分析,可以找出隐藏在现场数据背后的辊系热凸度变化规律,并在此基础上进行辊系热凸度的在线预报和补偿。将此方法应用在300实验冷带轧机上,并与常规无补偿轧制进行了对比。实验结果表明,辊系热凸度预报可靠,在线补偿对横向厚差具有明显稳定效果。In the steel strip cold rolling process, the thermal crown of rollers affects the transverse thick difference and the strip flatness. But it is difficult to be measured on line. Through the establishment of transverse thickness difference equation and thermal crown tracing analysis, the change rule of roll thermal crown hide in this mass of process data was found out, and was used to predict and compensate it online. This method was used in the 300 testing cold rolling mill, and compared with the traditional rolling process, The test results show that the prediction is reasonable, and the compensation is effective to level off transverse thick difference.

关 键 词：带钢冷轧 热凸度 数据挖掘 在线补偿 

分 类 号：TG335.12[金属学及工艺—金属压力加工]