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基于遗传算法的UCM双机架冷轧机弯辊力设定模型
引用本文:曹建国,孟小明,杨光辉,张勇,曹立潮,刘波. 基于遗传算法的UCM双机架冷轧机弯辊力设定模型[J]. 天津大学学报(自然科学与工程技术版), 2012, 0(7): 650-654
作者姓名:曹建国  孟小明  杨光辉  张勇  曹立潮  刘波
作者单位:[1]北京科技大学机械工程学院国家板带生产先进装备工程技术研究中心,北京100083 [2]武汉钢铁集团鄂城钢铁有限责任公司,鄂州436002
基金项目:基金项目:国家自然科学基金资助项目(59835170);北京科技大学科技发展专项基金资助项目(20050311890).
摘    要:建立了宽带铜6辊紧凑式冷轧机组弯辊力设定综合模型,以提高带铜板形质量.采用大型通用有限元软件建立了辊系弹性变形三维有限元模型,结合工业轧机整体取样,分析了双机架冷轧机多轧程各道次带铜板形比例凸度变化,确定了板形的主要影响因素;以板形良好为目标、双机架弯辊力的相对余量均匀作为约束条件,建立了基于遗传算法的工作辊和中间辊的弯辊力设定数学模型.本模型应用于1500mm6辊UCM大型工业轧机连续轧制试验取得明显改善带钢板形和提高对带钢来料凸度波动变化适应能力的实际效果.

关 键 词:冷轧机  带钢  板形控制  数学模型  有限元分析  遗传算法

Setup Model Based on Genetic Algorithm for Roll Bending Force of Double Stand UCM Cold Rolling Mills
CAO Jian-guo,MENG Xiao-ming,YANG Guang-hui,ZHANG Yong,CAO Li-chao,LIU Bo. Setup Model Based on Genetic Algorithm for Roll Bending Force of Double Stand UCM Cold Rolling Mills[J]. Journal of Tianjin University(Science and Technology), 2012, 0(7): 650-654
Authors:CAO Jian-guo  MENG Xiao-ming  YANG Guang-hui  ZHANG Yong  CAO Li-chao  LIU Bo
Affiliation:1. National Engineering Research Center of Flat Rolling Equipment, School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China; 2. Echeng Iron and Steel Corporation of Wuhan Iron and Steel Group, Ezhou 436002, China)
Abstract:The synthesis setup model for roll bending force in 6-high compact cold mills was developed to improve the flatness quality of cold-rolled wide strip. The three-dimensional finite element model for elastic deformation of the roll stacks was established by a finite element backage software combined with the entire strip sampling of industrial mill test. The main factors affecting flatness were identified by analyzing the strip proportion crown of each rolling pass of the double stand cold rolling mills. Taking the strip flatness as objective function and the evenness of various parts of the relative residual roll bending force as constraint conditions, the setup mathematical model for roll bend- ing forces of the work rolls and intermediate rolls was developed by making use of genetic algorithm. A better strip flatness quality and a greater ability to adapt to the crown change of incoming hot-rolled strips were achieved by the application of model to large-scale industrial continuous rolling test in 1 500 mm 6-high UCM (universal crown mill) old rolling mills.
Keywords:cold rolling mill  strip  profile and flatness control  mathematical model  finite element analysis  genetic algorithm
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