基于冷轧工艺数据的热镀锌带钢机械性能统计建模与预测  

Statistical modeling and prediction of hot-dip galvanized steel strips’mechanical properties based on cold rolling process data

作　　者：俞鸿毅[1] 王劲[1] 王学敏[2] YU Hongyi;WANG Jin;WANG Xuemin(Cold Rolling Plant,Baoshan Iron & Steel Co. ,Ltd. , Shanghai 201900, China;Resaerch Institute,Baoshan Iron & Steel Co. ,Ltd. , Shanghai 201999, China)

机构地区：[1]宝山钢铁股份有限公司冷轧厂,上海201900 [2]宝山钢铁股份有限公司中央研究院,上海201999

出　　处：《宝钢技术》2022年第2期41-45,共5页Baosteel Technology

摘　　要：在宝钢某冷轧热镀锌机组数字钢卷系统的基础上,应用生产线来料基本信息和冷轧生产工艺数据构建了不同钢种冷轧带钢的屈服强度、抗拉强度和延伸率3个主要力学机械性能的统计模型。利用数字钢卷系统的历史数据和在线数据平台,将统计模型应用于钢卷机械性能的离线和实时在线预测。Based on the digital steel coil system of Baosteel’s cold rolled steel production line,the statistical models of three main mechanical properties of the hot-dip galvanized steel strip of different steel grades,namely yield strength,tensile strength and elongation,are constructed by applying the basic information of incoming production line and cold rolling production process data of the steel coil.Using the historical data and the online data platform of digital steel coil process system,the constructed statistical models are applied to the offline and real-time online predictions of mechanical properties of steel coils.

关 键 词：冷轧薄板 统计学习方法 广义线性回归 机械性能预测 

分 类 号：TG335.55[金属学及工艺—金属压力加工]