|
|
Flow field optimization based on tundish impact zone |
WANG Jin1, LIU Yu-hang1, LIU Wei1, YANG Shu-feng1,2, LI Jing-she1, ZHAO Meng-jing3 |
1. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China; 2. State Key Laboratory of Advanced Metallurgy, University of Science and Technology, Beijing 100083, China; 3. Metallurgical and Building Materials Business Department, China International Engineering Consulting Corporation, Beijing 100048, China |
|
|
Abstract Aiming at the problem of production stability and product purification for a factory tundish prototype in the actual production process, the structure of tundish was optimized by combining numerical simulation and physical simulation. The single-factor variables (the impact zone, aperture diameter of diversion hole and inclination of diversion hole) were classified as single-factor optimization, and the consistency change law of outlet temperature difference and dead zone ratio was used as guide for further composite optimization, and the optimal tundish structure parameters were determined. The results show that the optimization effect of composite factor is greater than that of single factor, and the volume size of tundish impact zone has the greatest influence on the flow state of fluid, followed by the aperture size of guide aperture and the smallest inclination. The optimal scheme of moving the No.1 retaining wall by 450 mm, selecting the aperture of diversion aperture by 100 mm, selecting the inclination angle of diversion hole K-1 and K-2 by 20°, and moving the diversion hole K-3 by 50 mm and the inclination angle of 10° was determined. The dead band ratio of this scheme is 16.27%, which is 29.03% lower than that of the prototype, and the maximum temperature difference between the outlet of far and near end is reduced from 1.6 K to 0.6 K of the prototype, which further improves the uniformity of tundish flow field. This provides a theoretical basis for the actual tundish optimization of the plant, and also aims to provide optimization ideas and structural parameters for the optimization of similar tundish enterprises.
|
Received: 02 November 2022
|
|
|
|
[1] |
包燕平,王敏. 中间包冶金学[M]. 北京:冶金工业出版社,2020.
|
[2] |
李茂旺,李怡宏,董超. 流钢孔对中间包流体行为影响的数值模拟[J]. 中国冶金,2020,30(6):55.
|
[3] |
刘涛,赵梦静,杨树峰,等. 中间包等离子加热工业试验[J]. 中国冶金,2020,30(10):36.
|
[4] |
李怡宏,包燕平,赵立华,等. 多流中间包导流孔对钢液流动轨迹的影响[J]. 钢铁,2014,49(6):37.
|
[5] |
殷雪,孙赛阳,孙彦辉,等. 低碳铝镇静钢中间包浇注过程夹杂物的行为[J]. 钢铁,2014,49(8):21.
|
[6] |
Sahai Y. Tundish Technology for Clean Steel Production[M]. Hackensack:World Scientific Publishers,2008.
|
[7] |
HE F,WANG H,ZHU Z. Numerical investigation of effect of casting speed on flow characteristics of molten steel in multistrand tundish[J]. ISIJ International,2019,59(7):1250.
|
[8] |
李永祥,程乃良,陈志平,等. 三流T型中间包内控流装置优化的物理模拟[J]. 中国冶金,2008,18(2):29.
|
[9] |
Sahai Y,Emi T. Melt flow characterization in continuous casting tundishes[J]. ISIJ International,1996,36(6):667.
|
[10] |
CHEN D,XIE X,LONG M,et al. Hydraulics and mathematics simulation on the weir and gas curtain in tundish of ultrathick slab continuous casting[J]. Metallurgical and Materials Transactions B,2014,45(2):392.
|
[11] |
殷攀,袁几百,李秀杰,等. 不同形式稳流器对中间包冶金效果的影响[J]. 连铸,2022(3):25.
|
[12] |
陈远清,仇圣桃. T形中间包新型控流装置的模拟及试验[J]. 钢铁,2018,53(7):45.
|
[13] |
WANG X,ZHAO D,QIU S,et al. Effect of tunnel filters on flow characteristics in an eight-strand tundish[J]. ISIJ International,2017,57(11):1990.
|
[14] |
谭文萱,孙彦辉,宋思程,等. 七流中间包流场的优化与模拟[J/OL]. 钢铁研究学报:1[2022-11-01]. https://kns.cnki.net/kcms2.
|
[15] |
陈洋,欧西达,卫海瑞. 两流中间包控流装置优化的物理模拟与应用[J]. 连铸,2019(4):75.
|
[16] |
杨树峰,吴金强,李京社,等. 四流中间包控流装置优化物理模拟[J]. 中国冶金,2019,29(4):81.
|
[17] |
JIN Y,YE C,LUO X,et al. The model analysis of inclusion moving in the swirl flow zone sourcing from the inner-swirl-type turbulence controller in tundish[J]. High Temperature Materials and Processes,2017,36(5):541.
|
[18] |
YANG B,LIAO X,LIU K,et al. Numerical simulation of residence time distribution (RTD)in tundish with channel type induction heating[J]. JOM,2022,74:2129.
|
[19] |
LI Z,ZHANG M,ZHOU F,et al. Numerical simulation of slag entrapment process during the end of casting in tundish[J]. Ironmaking and Steelmaking,2022:49(10):1039.
|
[20] |
王凯民,唐海燕,肖红,等. 双通道感应加热中间包钢水流动控制[J]. 中国冶金,2022,32(2):84.
|
[21] |
薄凤华,王凤琴,张利君. 中间包包型优化的数值模拟及生产应用[J]. 钢铁,2011,46(2):26.
|
[22] |
Launder B E,Spalding D B. The numerical computation of turbulent flows[J]. Elsevier,1983(2):96.
|
[23] |
Launder B E,Spalding D B. Mathematical models of turbulence[J]. Academic London,1972(5):78.
|
[24] |
孙华,孙彦辉,黄博,等. 三流非对称中间包流场水模拟研究[J]. 钢铁钒钛,2017,38(3):118.
|
[25] |
José R,Emerson E,Francisco M,et al. Modeling and computational simulation of fluid flow,heat transfer and inclusions trajectories in a tundish of a steel continuous casting machine[J]. Journal of Materials Research and Technology,2019,8(5):4209.
|
[26] |
潘宏伟,程树森. 多流中间包流动特征的数学模型[J]. 北京科技大学学报,2009,31(7):815.
|
[27] |
雷洪,赵岩,鲍家琳,等. 多流连铸中间包停留时间分布曲线总体分析方法[J]. 金属学报,2010,46(9):1109.
|
[28] |
SU X,JI Y,LIU J,et al. Analysis on residence time distribution curve of continuous casting tundish by combined model[J]. International Journal of Steel Research,2018,89(12):1800085.
|
[29] |
熊巧铃,艾新港,王琼,等. 冲击区体积对感应加热中间包流动影响数学模拟[J]. 连铸,2021(5):43
|
|
|
|