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UCMW机组冷连轧过程板形形成机理及预报模型
英文标题:Formation mechanism and prediction model of strip flatness in cold tandem rolling process of UCMW mill
作者:宋君1 董广2 丁相阳3 王奎越1 曹忠华1 孙杰3 
单位:1.鞍钢集团北京研究院有限公司 2.鞍钢股份有限公司 数智发展部 3.东北大学 轧制技术及连轧自动化国家重点实验室 
关键词:UCMW机组 冷连轧 带钢 板形预测 辊系变形 预报模型 
分类号:TG335.12
出版年,卷(期):页码:2024,49(7):243-250
摘要:

 针对带钢横向方向不均匀塑性变形引起的带钢板形缺陷,对冷连轧过程中带钢板形问题展开机理研究,考虑前后机架带钢的遗传特性,建立适合于UCMW(Universal Crown Mill with Work roll shifting)机组的冷连轧过程板形预报模型,实现对冷连轧机组各个机架出口板形的定量预报,为分析板形影响因素提供理论基础。结果显示,板形预报曲线与实测结果的分布趋势相同,单元预报误差在2 I以内,整体板形误差在4 I以内,说明该模型具有较高的预报精度,能够满足现场生产板形情况的预报需求与模拟分析。通过准确的板形预报,可以实现对带钢板形缺陷的有效控制,从而直接提高产品的平整度和表面质量。

 For the strip flatness defects problem of strip steel caused by uneven plastic deformation in the transverse direction of strip steel, the mechanism for the strip flatness problem of strip steel during the cold tandem rolling process was studied. Considering the hereditary characteristics of strip steel between stands, a strip flatness prediction model suitable for UCMW (Universal Crown Mill with Work roll shifting) was established for the cold tandem rolling process, which realized the quantitative predictions of strip flatness at the exit of each stand in the cold tandem rolling mill and provided a theoretical basis for analyzing the factors influencing the strip flatness. The results show that the predicted strip flatness curves are consistent with the measured distribution trends, with the unit prediction errors within 2 I and the overall strip flatness errors within 4 I. This indicates that the model has high prediction accuracy and can meet the requirements for predicting the strip flatness condition in actual production and simulation analysis. The strip flatness defects of strip steel are controlled effectively by the accurate strip flatness prediction, which directly improves the flatness and surface quality of the product.

基金项目:
国家重点研发计划资助项目(2022YFB3304800)
作者简介:
作者简介:宋君(1980-),男,博士,教授级高级工程师 E-mail:junjun.s@163.com 通信作者:孙杰(1984-),男,博士,教授 E-mail:sunjie@ral.neu.edu.cn
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