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| Online prediction method of slag entrainment in mold based on numerical simulation |
| ZHOU Hai-chen1,2,3, LIU Guo-liang1,2,3, LI Hai-bo1,2,3, DENG Xiao-xuan1,2,3, JI Chen-xi1,2,3, LUO Yan-zhao1,2,3 |
1. Research Institute of Technology, Shougang Group Co., Ltd., Beijing 100043, China;
2. Beijing Key Laboratory of Green Recyclable Process for Iron and Steel Production Technology, Beijing 100043, China;
3. Beijing Engineering Research Center of Energy Steel, Beijing 100043, China |
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Abstract When the mold flux is entrained in the molten steel, it is easy to be captured by the growing solidified shell. Finally, the surface defects caused by the mold slag entrainment will be formed on the cold rolling sheet,which seriously deteriorate the quality of steel products. The phenomenon of slag entrainment in the mold is effected by the molten steel composition,temperature,flow pattern,and argon flow rate. The velocity of molten steel at the top surface of mold is an important parameter that reflects whether slag entrainment occurs at the steel-slag interface. However,the maximum velocity of molten steel at the top surface under different casting speeds, argon flow rates,and submergence depths of SEN cannot be predicted online in the actual casting process. An online prediction method of slag entrainment in the mold based on the numerical simulation of multiphase flow in the slab continuous casting mold was proposed. First,a 3D mathematical model of the multiphase flow was built and the behavior of molten steel flow with different casting speeds,argon flow rates, and submergence depths of SEN was simulated. Then,the calculated maximum velocity of molten steel at the top surface was fitted and the prediction equation of the maximum velocity under the fixed mold section was obtained. Finally,the accuracy of the method was verified by nail board measurements in a steel plant. The results shown that the speed of molten steel on the top surface had a trend of increasing first and then decreasing along the mold width and had a maximum value at the 1/4 mold width under different casting parameters. The speed had a larger value near the narrow face and the SEN under the smaller and larger casting speed,respectively. It had a larger value near the SEN and the narrow face under the smaller and larger argon flow rate,respectively. With the increasing of submergence depth of SEN,the speed varied small near the SEN and the narrow face. Based on the fitted equation of the molten steel velocity,the online prediction of slag entrainment in the mold was realized through comparing the maximum speed of the molten steel with the critical speed of slag entrainment at the steel-slag interface.
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Received: 17 January 2022
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[1] 张立峰. 钢中非金属夹杂物:工业实践[M]. 北京:冶金工业出版社,2019.(ZHANG Li-feng. Non-metallic Inclusions in Steels:Industrial Practice[M]. Beijing:Metallurgical Industry Press,2019.).
[2] 程鹏飞,唐海燕,吴光辉,等. 方坯连铸结晶器内表面流速与卷渣行为模拟[J]. 连铸,2017,42(2):1.(CHENG Peng-fei,TANG Hai-yan,WU Guang-hui,et al. Surface flow velocity and slag entrapment behavior modelling in a billet continuous casting mold[J]. Continuous Casting,2017,42(2):1.)
[3] 邓小旋,潘宏伟,季晨曦,等. 常规低碳钢板坯的高速连铸工艺技术[J]. 钢铁,2019,84(8):70.(DENG Xiao-xuan,PAN Hong-wei,JI Chen-xi,et al. Review on high speed conventional slab continuous casting of low carbon steels[J]. Iron and Steel,2019,54(8):70.)
[4] 刘曙光,赵建平,王帅,等. 浅谈如何减少生产低碳低硅铝镇静钢时结晶器卷渣[J]. 连铸,2019,44(1):14.(LIU Shu-guang,ZHAO Jian-ping,WANG Shuai,et al. Brief analysis of decreasing of mould slag entrapment in production of low-carbon low-silicon aluminum killed steel[J]. Continuous Casting,2019,44(1):14.)
[5] 胡群,张硕,王璞,等. 大方坯结晶器内液面波动与卷渣行为[J]. 中国冶金,2020,30(6):63.(HU Qun,ZHANG Shuo,WANG Pu,et al. Liquid level fluctuation and slag entrainment behavior in a bloom mold[J]. China Metallurgy,2020,30(6):63.)
[6] 周秋月,朱坦华,张立峰,等. 非稳态浇铸对结晶器卷渣定量影响的大涡模拟[J]. 钢铁,2022,57(4):68.(ZHOU Qiu-yue,ZHU Tan-hua,ZHANG Li-feng,et al. Large eddy simulation on quantitative influence of unsteady casting on mold slag entrainment[J]. Iron and Steel,2022,57(4):68.)
[7] 王伟,朱立光,张彩军,等. 180 mm×610 mm板坯连铸结晶器内流场水模型及数值模拟[J]. 中国冶金,2020,30(2):46.(WANG Wei,ZHU Li-guang,ZHANG Cai-jun,et al. Water flow field model and numerical simulation of 180 mm×610 mm slab continuous casting mold[J]. China Metallurgy,2020,30(2):46.)
[8] 李向龙,冯胜强,张志霄,等. 连铸坯拉速对结晶器卷渣现象的影响[J]. 连铸,2022,47(2):100.(LI Xiang-long,FENG Sheng-qiang,ZHANG Zhi-xiao,et al. Effect of casting speed on slag entrapment in continuous casting mold[J]. Continuous Casting,2022,47(2):100.)
[9] 薛瑞,张燕超,张彩军,等. 160 mm×160 mm小方坯连铸结晶器内流场数值模拟[J]. 中国冶金,2020,30(1):51.(XUE Rui,ZHANG Yan-chao,ZHANG Cai-jun,et al. Mathematical simulation of flow field in 160 mm×160 mm billet continuous casting mold[J]. China Metallurgy,2020,30(1):51.)
[10] Iguchi M,Yoshida J,Shimizu T,et al. Model study on the entrapment of mold powder into molten steel[J]. ISIJ International,2000,40(7):685.
[11] Watanabe T,Iguchi M. Water model experiments on the effect of an argon bubble on the meniscus near the immersion nozzle[J]. ISIJ International,2009,49(2):182.
[12] Gupta D,Lahiri A. Water-modeling study of the surface disturbances in continuous slab caster[J]. Metallurgical and Materials Transactions B,1994,25(2):227.
[13] 陆巧彤,杨荣光,王新华,等. 板坯连铸结晶器保护渣卷渣及其影响因素的研究[J]. 钢铁,2006,41(7): 29.(LU Qiao-tong,YANG Rong-guang,WANG Xin-hua,et al. Water modeling study on factors affecting mold powder entrapment in slab continuous casting[J]. Iron and Steel,2006,41(7):29.)
[14] 邓小旋,季晨曦,何文远,等. 板坯连铸结晶器液面的周期性瞬态特征[J]. 钢铁,2017,52(9):42.(DENG Xiao-xuan,JI Chen-xi,HE Wen-yuan,et al. Periodic transient level fluctuations in continuous casting mold of slab[J]. Iron and Steel,2017,52(9):65.)
[15] 王志国,王明林,韦军尤,等. 不同形状板坯结晶器钢液表面流速的物理模拟[J]. 连铸,2021,46(1):41.(WANG Zhi-guo,WANG Ming-lin,WEI Jun-you,et al. Physical simulation on surface velocity of molten steel in slab molds with different shapes[J]. Continuous Casting,2021,46(1):41.)
[16] 雷洪,朱苗勇,赫冀成. 连铸结晶器内卷渣过程的数学模型[J]. 金属学报,2000,36(10):1113.(LEI Hong,ZHU Miao-yong,HE Ji-cheng. Mathematical modeling of slag entrapment in continuous casting mould[J]. Acta Metallurgica Sinica,2000,36(10):1113.)
[17] ZHANG T,YANG J,JIANG P. Measurement of molten steel velocity near the surface and modeling for transient fluid flow in the continuous casting mold[J]. Metals,2019,9(1):36.
[18] 陈威,周海忱,王胜东,等. 吹氩流量对结晶器流场影响的插钉工业试验[J]. 钢铁,2019,54(8):102. (CHEN Wei,ZHOU Hai-chen,WANG Sheng-dong,et al. Nail board industrial experiment on effect of argon flow rate on mold flow field distribution[J]. Iron and Steel,2019,54(8):102.)
[19] Schiller L,Naumann Z. A drag coefficient correlation[J]. Zeitschrift des Vereines Deutscher Ingenieure,1935,77(12):318.
[20] Tomiyama A,Tamai H,Zun I,et al. Transverse migration of single bubbles in simple shear flows[J]. Chemical Engineering Science,2002,57(11):1849.
[21] Burns A,Frank T,Hamill I,et al. The favre averaged drag model for turbulent dispersion in eulerian multi-phase flows[C]//Proceeding of the Fifth International Conference on Multiphase Flow. Yokohama, Japan:[s.n.],2004:1.
[22] HUANG C,ZHOU H,ZHANG L,et al. Effect of casting parameters on the flow pattern in a steel continuous casting slab mold:Numerical simulation and industrial trials[J]. Steel Research International,2021,93(2):2100350.
[23] LIU Z,QI F,LI B,et al. Modeling of bubble behaviors and size distribution in a slab continuous casting mold[J]. International Journal of Multiphase Flow,2016,79:190.
[24] Kastner G,Brandstätter W,Kaufmann B,et al. Numerical study on mould powder entrapment caused by vortexing in a continuous casting process[J]. Steel Research International,2006,77(6):404.
[25] CHEN W,REN Y,ZHANG L,et al. Numerical simulation of steel and argon gas two-phase flow in continuous casting using LES+VOF+DPM model[J]. JOM,2019,71(3):1158.
[26] ZHOU H,ZHANG L,CHEN W,et al. Determination of transient flow pattern in steel continuous casting molds using nail board measurement and onsite top flux observation[J]. Metallurgical and Materials Transactions B,2021,52(2):1106.
[27] DENG X,JI C,CUI Y,et al. Flow pattern control in continuous slab casting moulds:Physical modelling and plant trials[J]. Ironmaking and Steelmaking,2017,44(6):461.
[28] Liu R,Thomas B,Sengupta J,et al. Measurements of molten steel surface velocity and effect of stopper-rod movement on transient multiphase fluid flow in continuous casting[J]. ISIJ International,2014,54(10):2314.
[29] Harman J,Cramb A. A study of the effect of fluid physical properties upon droplet emulsification[C]//Seventy Ninth Steelmaking Conference Proceedings.Warrendale,PA:The Iron and Steel Society,1996:773.
[30] Hagemann R,Schwarze R,Heller H,et al. Model investigations on the stability of the steel-slag interface in continuous-casting process[J]. Metallurgical and Materials Transactions B,2013,44(1):80.
[31] Elfsberg J,Matsushita T. Measurements and calculation of interfacial tension between commercial steels and mould flux slags[J]. Steel Research International,2011,82(4):404. |
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2022, Vol. 57 
