摘要
针对冷连轧机的边降侦测器仅能将C15(距边为15 mm)的冷轧钢带轧制厚度控制在小于10μm的尺寸偏差,同时,无法避免其他位置产生鼓起缺陷的现状,为了加强轧边控制和降低轧制缺陷,提出了一种新型两段式锥形工作辊辊型优化方法。通过深入分析第1机架(S1)两段式锥形工作辊辊型结构及边降控制机理,建立宽、窄钢带边降控制弯辊力的模型,并基于数值模拟结果多次修正工作辊辊型。优化设计后的新型两段式锥形工作辊最终在工业轧制现场进行轧制实验验证,结果表明:优化后的第1机架(S1)两段式锥形工作辊可与现有一级(LV1)边降控制系统配合使用,能够充分发挥锥形工作辊的边降控制能力,同时有效地避免了冷轧钢带在轧制时的鼓起缺陷。
For the current status that the edge drop detector of cold tandem rolling mill can only control the rolling thickness deviation less than 10μm at C15(distance of 15 mm from edge)of cold rolled steel strip and meanwhile cannot avoid the bulging defects generated in the other positions,a new optimization method of dual-slope tapered work roll contour was proposed to strengthen the edge control and reduce the rolling defects.Then,through in-depth analysis on the contour structure Stand 1(S1)dual-slope tapered work roll and edge drop control mechanism,the rolling force model for edge drop control of wide and narrow steel strips was established,and the contour of work roll was modified several times based on the numerical simulation results.Furthermore,the new dual-slope tapered work roll after optimized design was verified by rolling experiments on the industrial rolling site.The results show that the optimized S1 dual-slope tapered work roll can be used in conjunction with the existing Level 1(LV1)edge drop control system,which can give full play to the edge drop control capability of tapered work roll and effectively avoid the bulging defects of cold rolled steel strip during rolling process.
作者
季业益
陆宝山
关集俱
李强伟
Ji Yeyi;Lu Baoshan;Guan Jiju;Li Qiangwei(Department of Precision Manufacturing Engineering,Suzhou Vocational Institute of Industrial Technology,Suzhou 215104,China;Engineering Training Center,Suzhou University,Suzhou 215123,China)
出处
《锻压技术》
CAS
CSCD
北大核心
2020年第10期117-123,共7页
Forging & Stamping Technology
基金
国家自然科学基金青年基金项目(51805345)
江苏省自然科学基金青年基金项目(BK20170373)
江苏高校“青蓝工程”资助项目(2019)
苏州市重点实验室资助项目(SZS201815)。
关键词
冷连轧机
锥形工作辊
边降控制
鼓起缺陷
轮廓优化
cold tandem rolling mill
tapered work roll
edge drop control
bulging defect
contour optimization
