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支持辊磨损模型的模拟退火算法求解
引用本文:孙林,张清东,陈先霖,何安瑞,宋耀华,张光新. 支持辊磨损模型的模拟退火算法求解[J]. 北京科技大学学报, 2003, 25(2): 178-181
作者姓名:孙林  张清东  陈先霖  何安瑞  宋耀华  张光新
作者单位:1. 北京科技大学机械工程学院,北京,100083;武汉钢铁(集团)公司,武汉,430083
2. 北京科技大学机械工程学院,北京,100083
3. 武汉钢铁(集团)公司,武汉,430083
基金项目:国家自然科学基金;59835170;
摘    要:在大量实测数据的基础上,结合理论分析,用统计方法建立起适合工程应用的支持辊磨损模型.该模型是一个多峰且高度非线性系统的半经验公式,其参数的估计复杂且计算量大.借助于带记忆的模拟退火算法,得到有效的解决.计算结果表明该模型具有较高的预报精度.在武钢2800四辊轧机应用后,取得明显效果.

关 键 词:四辊轧机 支持辊 磨损模型 模拟退火算法 中厚板精轧机 磨损量
修稿时间:2002-06-11

Wear Model of Backup Roll in Plate Mills by Simulated Annealing Algorithm
SUN Lin,ZHANG Qingdong,CHEN Xianlin,HE Anrui,SONG Yaohua,ZHANG Guanxin )Mechanical Engineering School,University of Science and Technology Beijing,Beijing ,China ) Wuhan Iron and Steel. Wear Model of Backup Roll in Plate Mills by Simulated Annealing Algorithm[J]. Journal of University of Science and Technology Beijing, 2003, 25(2): 178-181
Authors:SUN Lin  ZHANG Qingdong  CHEN Xianlin  HE Anrui  SONG Yaohua  ZHANG Guanxin )Mechanical Engineering School  University of Science  Technology Beijing  Beijing   China ) Wuhan Iron  Steel
Abstract:A statistical wear model of backup roll was built up based on a large number of measured data. The model is a multiple extremes and high non-linearity semi-theoretic formula whose pattern and magnitude are hardly defined with classical optimization methods because the computation is large and complex. By using the simulated annealing algorithm with memory, the coefficients in the roll wear model are optimized. The calculation results indicate a higher precision for prediction. After the model was applied in a 2800 4-roll mill of Wuhan Iron and Steel (Group) Co, the plate shape had been notably improved.
Keywords:plate  backup roll  wear  simulated annealing algorithm  profile and flatness
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