Control and application of cooling path after rolling for hot strip based on ultra fast cooling

被引:0
作者
Guo Yuan
Zhen-lei Li
Hai-jun Li
Zhao-dong Wang
Guo-dong Wang
机构
[1] State Key Laboratory of Rolling and Automation (Northeastern University),
来源
Journal of Central South University | 2013年 / 20卷
关键词
hot rolled strip; ultra fast cooling; temperature field distribution; cooling path; cooling strategy;
D O I
暂无
中图分类号
学科分类号
摘要
Hot rolled strip requires diverse and flexible control of cooling path in order to take full advantages of strengthening mechanisms such as fine grain strengthening, precipitation strengthening, and transformation strengthening, adapting to the development of advanced steel materials and the requirement of reduction-manufacturing. Ultra fast cooling can achieve a great range of cooling rate, which provides the means that the hardened austenite obtained in high temperature region can keep at different dynamic transformation temperatures. Meanwhile, through the rational allocation of the UFC (ultra fast cooling) and LFC (laminar flow cooling), more flexible cooling path control and cooling strategy of hot rolled strip are obtained. Temperature distribution and control strategies under different cooling paths based on UFC are investigated. The process control temperature can be limited within 18 °C, and the mechanical properties of the steels get a great leap forward due to the cooling paths and strategies, which can decrease costs and create great economic benefits for the iron and steel enterprises.
引用
收藏
页码:1805 / 1811
页数:6
相关论文
共 44 条
  • [1] Buzzichelli G(2002)Present status and perspectives of European research in the field of advanced structure steels [J] ISIJ International 42 1354-1363
  • [2] Anelli E(1997)Influence of the cooling section on vapor-phase pyrolysis in laminar-flow reactors [J] Journal of Analytical and Applied Pyrolysis 39 145-160
  • [3] Richard P(1990)Modeling and analysis of controlled cooling for hot moving metal plates [J] Monitoring and Control for Manufacturing Processes 44 465-473
  • [4] Chen S J(2009)Distributed model predictive control for plant-wide hot-rolled strip laminar cooling process [J] Journal of Process Control 19 1427-1437
  • [5] Biswas S K(2007)Re-redding on strip surface after water cooling [J] Journal of Iron and Steel Research, International 14 26-29
  • [6] Han L F(2011)Development and application of ultra-fast laminar cooling device for hot-rolled strip [J] Steel Rolling 28 18-21
  • [7] Satyanarayana A(2011)Effect of phase transformation latent heat on prediction accuracy of strip laminar cooling [J] Journal of Materials Processing Technology 211 1776-1782
  • [8] Zheng Y(2005)Controlling strategies for laminar cooling of hot rolled steel strip [J] Journal of Iron and Steel Research 17 5-9
  • [9] Li S-y(2007)Self-learning and its application to laminar cooling model of hot rolled strip [J] Journal of Iron and Steel Research, International 14 11-14
  • [10] Wang X-bo(2000)Application of RBF neural networks in control system of the slab accelerating cooling process [J] Acta Automatica Sinica 26 219-225