scholarly journals Experimental Study of Laminar Cooling Process on Temperature Field of the Heavy Plate

Author(s):  
Wenhong Liu ◽  
Siyu Zhang ◽  
Junlin Wang
2012 ◽  
Vol 232 ◽  
pp. 808-811 ◽  
Author(s):  
Min Ting Wang ◽  
Xue Tong Li ◽  
Feng Shan Du

To investigate the effect of laminar cooling parameters on temperature field and heat transfer coefficient, an experiment platform for analyzing laminar cooling is designed and made by the author. Making use of the equipment, the cooling experiments with the various cooling conditions have been carried. Based on the experimental results, the effects of different water flows and water temperature on cooling rate are presented in this study. And it can be found that adding impurities into cooling medium is an effective way to improving the cooling rate. The research achievements have a certain reference value for setting parameters in laminar cooling process of heavy plate.


2018 ◽  
Author(s):  
Menghua Duan ◽  
Lin Chen ◽  
Yongchang Feng ◽  
Junnosuke Okajima ◽  
Atsuki Komiya

2011 ◽  
Vol 233-235 ◽  
pp. 2714-2717
Author(s):  
Xin Gang Ai ◽  
Sheng Li Li ◽  
Dong Wei Zhang ◽  
Nan Lv ◽  
Jun Tao

Huge rectangular ingots becomes crying needs in the condition of lots of heavy plate mills more than 5m have been in operation. In this paper, a special method of wind cooling outside mould has been presented and applied to produce 60t rectangular ingot. Mathematical simulation results tell us that by wind cooling, the solidification time of the 60t ingot can be shortened by 67 minutes, internal soundness can be ensured. The wind cooling process can obviously improve microstructure and preventing skull patch by increasing the thickness of solidified shell. A 60 tons huge rectangular ingot is successfully produced by wind cooling, the surface quality of is very well and the internal soundness should be improved further.


2013 ◽  
Vol 756-759 ◽  
pp. 4377-4381
Author(s):  
Jing Hou ◽  
Jin Xiang Pian ◽  
Yan Ling Sun ◽  
Ke Xu

In order to improve the control accuracy of the coiling temperature of strip in the laminar cooling process when working condition is varying, an intelligent setting method of the cooling water volume is researched in this paper. The strip coiling temperature mechanism model is built firstly. Secondly, the key model parameters are identified with case-based reasoning (CBR) technology to improve the model accuracy. Lastly, the cooling water volume setting method based the model is proposed where disturbance input method is applied. The simulation result showed that the proposed method can improve the strip coiling temperature accuracy when the operation condition is changing. The strip coiling temperature accuracy can be improved due to the CBR technology which can adjust the key model parameters according to the varying operation condition. So, the setting values based the improved model are adjusted with the changing working condition, with self-adaptive ability.


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