Online numerical dynamic heat transfer modeling for continuous casting slab and its test

Author(s):  
Jun Liu ◽  
Feng Yang ◽  
Li-Ming Rao ◽  
Jun Xie ◽  
Jiao-Cheng Ma
2005 ◽  
Vol 45 (9) ◽  
pp. 1291-1296 ◽  
Author(s):  
Hongming WANG ◽  
Guirong LI ◽  
Yucheng LEI ◽  
Yutao ZHAO ◽  
Qixun DAI ◽  
...  

1990 ◽  
Vol 21 (4) ◽  
pp. 761-770 ◽  
Author(s):  
B. Lally ◽  
L. Biegler ◽  
H. Henein

2016 ◽  
Vol 124 ◽  
pp. 504-516 ◽  
Author(s):  
Yongqiang Luo ◽  
Ling Zhang ◽  
Zhongbing Liu ◽  
Yingzi Wang ◽  
Jing Wu ◽  
...  

2011 ◽  
Vol 421 ◽  
pp. 67-70
Author(s):  
Ting Sheng Tu ◽  
Hong Liang Wang ◽  
Zuo Sheng Lei ◽  
Zhong Ming Ren

Solidification heat transfer in continuous casting slab was simulated with the business software CALCOSOFT. The position on solidification end point which obviously effect on soft reduction was predicted and verified by nail—shooting technique. It is shown from the numerical simulation that the casting speed affected the position significantly: the solidification end point moved backward 3 or 4m as the casting speed increased by 0.2m /min, while the casting temperature has little effect that the solidification end point moved backward only 0.2 or 0.25mm as it increased 6°C or 7°C.


2010 ◽  
Vol 44-47 ◽  
pp. 33-37
Author(s):  
Qi Zhang ◽  
La Dao Yang ◽  
Heng Wen

A two-dimensional (2-D) heat transfer and solidification model has been established and applied to calculate the temperature distribution and solid shell thickness profile of a continuous casting slab in a steel plant. A finite difference method was used for the numerical simulation. For thermal analysis, the 2-D slice unsteady-state heat conduction equation with enthalpy convention was used. Meanwhile, non-linear material properties of specific heat and thermal conductivity as well as phase changes during solidification were considered in the model. The temperature distribution and solid shell thickness calculated by mathematical model agree with those predicted by industrial and experimental measurements. The model could also be used to predict the optimum process parameters on casting speed, heat removal rates and the water distribution of secondary cooling zone.


2019 ◽  
Vol 161 ◽  
pp. 114138
Author(s):  
Nattawut Chaomuang ◽  
Onrawee Laguerre ◽  
Denis Flick

2008 ◽  
Vol 42 (6-8) ◽  
pp. 939-951 ◽  
Author(s):  
Tounsia Jamah ◽  
Rachid Mansouri ◽  
Saïd Djennoune ◽  
Maâmar Bettayeb

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