Effect of Mold Electromagnetic Stirring and Final Electromagnetic Stirring on the Solidification Structure and Macrosegregation in Bloom Continuous Casting

2021 ◽  
pp. 2000661
Author(s):  
Yadong Wang ◽  
Lifeng Zhang ◽  
Wen Yang ◽  
Sha Ji ◽  
Ying Ren
Metals ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. 903 ◽  
Author(s):  
Bingzhi Ren ◽  
Dengfu Chen ◽  
Wentang Xia ◽  
Hongdan Wang ◽  
Zhiwei Han

A 3D mathematical model was developed to simulate the electromagnetic field in Φ600 mm round bloom continuous casting with final electromagnetic stirring (F-EMS), and the model was verified using measured data for the magnetic flux density in the stirrer centre. The distribution of electromagnetic force and the influence of current intensity and frequency were investigated. The results show that the Joule heat generated by F-EMS is very small and its influence on secondary cooling heat transfer in the stirring zone can be ignored. With an increase in current frequency, the electromagnetic force density at R/2 and R/3 of the Φ600 mm round bloom first increases and then decreases, reaching a maximum at 10 Hz.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Dongsheng Wu ◽  
Zhenping Ji ◽  
Jian Yang ◽  
Hongwei Gao ◽  
Jiahui Yu ◽  
...  

Secondary cooling and final electromagnetic stirring (F-EMS) are both key technologies for continuous casting. These parameters are usually optimized and controlled separately which caused internal quality fluctuations in unsteady conditions. In this paper, a coordinated optimal control strategy based on a multiobjective particle swarm optimization (MOPSO) algorithm is proposed for the parameter optimization of secondary cooling and F-EMS, which is solved based on multiobjective particle swarm optimization (MOPSO) algorithm. The solidification and heat transfer model are developed for the computation of billet temperature and the solidification, and the adaptive grid method is used to improve the diversity and robustness of optimal solutions. The secondary cooling water and F-EMS’ stirring current are dynamically controlled based on the optimization results. The results of field trials showed that the maximum carbon segregation and other quality indexes of billets can be improved significantly.


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