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冷连轧机垂直振动理论研究进展与展望
引用本文:李旭,曹雷,陈方升,张殿华.冷连轧机垂直振动理论研究进展与展望[J].轧钢,2022,39(5):1-12.
作者姓名:李旭  曹雷  陈方升  张殿华
作者单位:东北大学轧制技术及连轧自动化国家重点实验室,辽宁 沈阳 110819
基金项目:国家自然科学基金项目(U20A20187);“兴辽英才计划”项目(XLYC2007087);中央高校基本科研业务费项目(N2107010)
摘    要:轧机振动是冷轧带钢生产时普遍存在的问题,严重影响了产品质量并制约了板带材制备过程的高速化发展。其产生机理是由于轧机结构动态变化和轧制过程相互作用产生的自激振动。国内外学者从大量实验测定和理论探索中逐步形成并完善了不同简化模型,这些模型为提高轧机稳定性和发现消振抑振手段奠定了坚实基础。在归纳总结国内外相关文献中采用的不同理论模型基础上,从建模方法、轧机结构模型和轧制过程关键子模型等角度对研究成果进行了简要阐述、对比和评论;同时,介绍了人工智能理论在振动预测方面的应用,并结合当前钢铁行业的发展趋势对轧机振动未来的研究方向进行了展望。

关 键 词:冷连轧  轧机自激振动  轧机结构  摩擦模型  数据驱动  
收稿时间:2022-05-20

Review and prospect of theoretical studies on vertical vibration in tandem cold rolling mill
LI Xu,CAO Lei,CHEN Fangsheng,ZHANG Dianhua.Review and prospect of theoretical studies on vertical vibration in tandem cold rolling mill[J].Steel Rolling,2022,39(5):1-12.
Authors:LI Xu  CAO Lei  CHEN Fangsheng  ZHANG Dianhua
Affiliation:State Key Laboratory of Rolling and Automation,Northeastern University,Shenyang 110819, China
Abstract:Mill vibration is a common problem in tandem cold rolling, which seriously affects the product quality and restricts the high-speed development of strip rolling process. The mechanism of self-excited vibration is the interaction between the dynamic change of mill structure and rolling process. Scholars at home and abroad have gradually formed and improved different simplified models though a large number of experimental measurements and theoretical exploration. These models lay a solid foundation for improving mill stability and discovering vibration suppression means. Based on summarizing different theoretical models used in relevant literatures, the research results were briefly described, compared and commented from the perspectives of modeling methods, mill structure model and key sub-models of rolling process. The application of artificial intelligence in vibration prediction was also introduced. Considering the current development trend of steel industry, the future research direction of mill vibration was prospected.
Keywords:tandem cold rolling  self-excited vibration  mill structure  friction model  data driven  
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