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热轧带钢轧后冷却控制系统优化
引用本文:李海军,江潇,李旭东,王国栋.热轧带钢轧后冷却控制系统优化[J].东北大学学报(自然科学版),2015,36(3):364-368.
作者姓名:李海军  江潇  李旭东  王国栋
作者单位:(1. 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; 2. 首钢迁钢热轧作业部, 河北 迁安064400)
基金项目:“十二五”国家科技支撑计划项目(2012BAF04B01);中央高校基本科研业务费专项资金资助项目(N120407006)
摘    要:为提高热轧带钢超快冷出口温度和卷取温度控制精度,针对超快冷生产调试过程中出现的问题,对轧后冷却控制系统进行了优化.针对超快冷出口纵向温度偏差较大的问题,提出超快冷换热系数多点自学习方法;采用有限差分方法,分析带钢超快速冷却后的返红现象,并在此基础上提出一种超快冷出口返红补偿方法;提出了对进入冷却区的带钢样本段进行温度再计算的方法,来消除速度波动对轧后冷却温度控制精度的影响.现场应用结果表明,优化后超快冷出口温度和卷取温度控制精度均明显提高.

关 键 词:热轧带钢  超快冷  返红  卷取温度  自学习  

Optimization of Cooling Control System on the Run-out Table of Hot Strip Mill
LI Hai-jun , JIANG Xiao , LI Xu-dong , WANG Guo-dong.Optimization of Cooling Control System on the Run-out Table of Hot Strip Mill[J].Journal of Northeastern University(Natural Science),2015,36(3):364-368.
Authors:LI Hai-jun  JIANG Xiao  LI Xu-dong  WANG Guo-dong
Institution:1. State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, China; 2. Shougang Qiangang Hot Strip Plant, Qian’an, 064400, China.
Abstract:In order to guarantee high control accuracy of ultra-fast cooling zone delivery temperature and coiling temperature, the run-out table cooling control system was optimized according to the major problems emerging from the tuning process of ultra-fast cooling. Aiming at the longitudinal temperature fluctuations after ultra-fast cooling, a new self-learning method for the heat transfer coefficients of ultra-fast cooling was proposed. The strip surface re-reddening phenomenon after ultra-fast cooling process was simulated with the finite difference method, based on which a compensation for strip surface re-reddening was added to run-out table cooling control system. In order to eliminate the influence of strip conveying velocity fluctuations on temperature, the strip conveying velocity diagram and temperature were recalculated for all strip segments which had entered the cooling sections, as soon as a new strip segment came to the measuring point of finish mills delivery temperature (FDT). With the methods mentioned above, the new run-out table cooling control system are optimized and field application showed that the strip temperature control accuracy are improved obviously.
Keywords:hot strip mill  ultra-fast cooling  re-reddening  coiling temperature  self-learning
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