Abstract：The standardization, automatization and intellectualization of LF refining process can improve refining control ability and enhance the market competitiveness of steel products, which is also in line with current development trend of building intelligent factory and realizing intelligent production. The development status of automatic control technology for LF refining at home and abroad is summarized. The control systems/models and their applications of LF refining at home and abroad in automatic argon blowing, electrode automatic control, temperature prediction, composition prediction and control, slagging and desulfurization, and deoxidation are combed and analyzed. The application status, advantages and disadvantages are emphatically summarized. The research progress and development trend of automatic control in LF refining process are expounded, and the development path and prospect of LF refining automation steelmaking are prospected, which can provide a reference for automatic and precise control in subsequent LF refining process.
冯梦龙, 林路, 赵舸, 何赛, 刘亚琴. LF精炼自动控制技术发展与展望[J]. 中国冶金, 2022, 32(11): 32-40.
FENG Meng-long, LIN Lu, ZHAO Ge, HE Sai, LIU Ya-qin. Development and prospect of LF refining automatic control technology[J]. China Metallurgy, 2022, 32(11): 32-40.
Thrum A J. Induction versus gas stirring in ladle furnace[C]//中国特殊钢年会论文集. 北京:中国金属学会,2005:130.
[7]
Sand U,Yang H,Eriksson J E,et al. Numerical and experimental study on fluid dynamic features of combined gas and electromagnetic stirring in ladle furnace[J]. Steel Research International,2009,80(6):441.
[8]
Rashid M M,Mhaskar P,Swartz C L E. Multi-rate modeling and economic model predictive control of the electric arc furnace[J]. Journal of Process Control,2016(40):50.
Staib W E,Staib R B. The intelligent arc furnace controller:A neural network electrode position optimization system for the electric arc furnace[C]//International Joint Conference on Neural Networks. Baltimore:IEEE,1992:1.
[12]
Hauksdottir A,Soderstrom T,Thorfinnsson Y,et al. System identification of a three-phase submerged-arc ferrosilicon furnace[J]. IEEE Transactions on Control Systems Technology,1995,3(4):377.
[13]
Panoiu M,Panoiu C,Iordan A,et al. Artificial neural networks in predicting current in electric arc furnaces[C]//IOP Conference Series:Materials Science and Engineering. Lille:IOP Publishing,2014,57(1):012011.
Nikolaev A,Povelitsa E,Kornilov G,et al. Research and development of automatic control system for electric arc furnace electrode positioning[J]. Applied Mechanics and Materials,2015,785:707.
Nath N K,Mandal K,Singh A K,et al. Ladle furnace on-line reckoner for prediction and control of steel temperature and composition[J]. Ironmaking and Steelmaking,2006,33(2):140.
Kothari A K,Ranjan R,Singh R S,et al. A real-time ferroalloy model for the optimum ladle furnace treatment during the secondary steelmaking[J]. Ironmaking and Steelmaking,2017,46(3):1.
[47]
成国光,宋波,陆钢,等. 钢液深脱硫精炼工艺的研究[J]. 钢铁,2001,36(3):21.
[48]
Yuasa G,Yajima T,Ukai A,et al. Refining practice and application of the ladle furnace (LF) process in Japan[J]. Transactions of the Iron and Steel Institute of Japan,1984,24(5):412.
[49]
Hassall G J,Jaekaman D,Phawkins R J. Phosphorus and sculpture removal from liquid steel in ladle steelmaking processes[J]. Ironmaking and Steelmaking,1991,18(5):359.
[50]
杨晓江,夏春学,王晓明,等. 150 t LF快速脱硫工艺实践[J]. 炼钢,2006,22(1):16.
2022, Vol. 32 
