Analysis and Application for the Influence of Cooling Strategy on Cooling Capacity in the Laminar Cooling of Hot Rolling Strip

Abstract:

According to the arrangement of laminar cooling equipment in Desheng 1150mm hot strip mill, two-dimensional finite difference method has been used for coiling temperature online control model basing on the analysis of heat transfer characteristics, practical data are used to optimize water heat coefficient for self-learning as amended, this model are used to calculate the steel temperature change and distribution in the process of laminar cooling. Analysis of different cooling strategies on the cooling rate and organization of steel show that: In the same number of opened cooling tubes, the cooling capacity is not the same in the different strategies, the cooling to back direction is the strongest, followed by intermittent cooling, the cooling to front direction is the smallest. Cooling strategy was applied to the scene and simulated results match with the actual observation. The system has a wide range of cooling rate adjustment, the operation and control is well, which meet to the development and the requirements of new varieties.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 4776-4783
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.4776
• Online since: September 2014
• Authors: Da Zhi Zhang*, Hai Li Ye
• Keywords: Cooling Capacity, Cooling Strategy, Finite Difference Method, Hot Rolling Strip, Laminar Cooling, Temperature Control

References

[1] .

[1] Xie Haibo, She Guangfu, Liu Hua, Wang Guodong development and implementation of hot rolled strip laminar cooling set model of Northeastern University (Natural Science), 2004, 25 (10): 961 - 964.

[2] Su Yanping, Yang Quan, Hean Rui, Wang Xiaodong, while Haitao ASP1700 hot rolled strip laminar cooling process changes affecting plate-shaped steel thermal stress solution, 2008, 43 (5): 55-60.

[3] Guo Qiang model development and accelerated cooling after rolling automatic control system Master Thesis Beijing: . Beijing University of Technology, (2005).

[4] simulation Hou Ligang, Zhang Guomin, Xiao Hong hot rolling process temperature field . 2006 Iron and Steel Research, 18 (8): 32-34.

[5] Yu Changming thermal conductivity and Numerical Analysis [M] Beijing: China Press, 1981. 453.

[6] Song Yong Su Lan, Xie Xinliang based on finite difference algorithms line coiling temperature control model [J]. Steel: 2009. 44 (5): 44 ~ 47.

[7] Peng Lianggui, Ming, Wang Zhaodong, such as hot rolled strip laminar cooling Mathematical Models of [J] Rolling, 2003, 20 (6): 25-29.

[8] Liu Hua, Yu Ming, branch Ying, Xie Haibo, Yu Hailiang. After rapid cooling plate strip back red surface phenomenon. Journal of Iron and Steel Research. 2008. 20 (10) . 25 ~ 27.

[9] Song Yong Su Lan, Jingfeng Wei. Sunshine 1580mm hot strip mill laminar cooling control system [J]. Metallurgical Automation: 2009. 3 (33) . 2.

[10] Zhang Dazhi, Shentu NAN Kai, Li Xuan, Wang Chao, Tang Sheng, Zhang Jiahua. Siemens laminar cooling hot rolling S7-400 automatic control system of electrical transmission . 2008. 37 (8) : 44-47.

[11] Zhang Zhiyong hot rolled strip laminar cooling control technology innovation Steel Technology 2008 (3): 36 ~ 39.