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A Kinetic Ladle Furnace Process Simulation Model: Effective Equilibrium Reaction Zone Model Using FactSage Macro Processing

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Abstract

The ladle furnace (LF) is widely used in the secondary steelmaking process in particular for the de-sulfurization, alloying, and reheating of liquid steel prior to the casting process. The Effective Equilibrium Reaction Zone model using the FactSage macro processing code was applied to develop a kinetic LF process model. The slag/metal interactions, flux additions to slag, various metallic additions to steel, and arcing in the LF process were taken into account to describe the variations of chemistry and temperature of steel and slag. The LF operation data for several steel grades from different plants were accurately described using the present kinetic model.

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References

  1. J. Peter, K. D. Peaslee, D. G. C. Robertson and B. G. Thomas: Proc. AISTech 2005, vol. 1, pp. 959-973.

    Google Scholar 

  2. K. J. Graham and G. A. Irons: Iron and Steel Technol., 2009, vol. 6, pp. 164-173.

    Google Scholar 

  3. A. Harada, N. Maruoka, H. Shibata, S. Kitamura: ISIJ International, 2013, vol. 53, pp. 2110–2117.

    Article  Google Scholar 

  4. M.-A. Van Ende, Y.-M. Kim, M.-K. Cho, J.H. Choi and I.-H. Jung: Metall. Mater. Trans. B, 2011, vol. 42, pp. 477-489.

    Article  Google Scholar 

  5. M.-A. Van Ende and I.-H. Jung: CAMP-ISIJ, 2015, vol.28, pp. 527-530.

    Google Scholar 

  6. M.-A. Van Ende and I.-H. Jung: ISIJ Inter. 2014, vol. 54, pp. 489-495.

    Article  Google Scholar 

  7. www.factsage.com. Accessed 11 Jan 2016.

  8. www.metsim.com. Accessed 11 Jan 2016.

  9. S. Oguchi, D.G.C. Robertson, B. Deo, P. Grieveson and J.H.E. Jeffes: Ironmaking Steelmaking, 1984, vol. 11, pp. 202-213.

    Google Scholar 

  10. J. Lehmann: Revue de Métallurgie, 2008, vol. 105, pp 539-550.

    Article  Google Scholar 

  11. K.J. Graham and G.A. Irons: Proceedings of International Symposium on Highly Innovative Novel Operations “Future Steelmaking Metallurgy”, ISIJ, Tokyo (2010).

  12. P.R. Scheller and Q. Shu: Steel Research Inter., 2014, vol. 85, pp. 1310-1316.

    Article  Google Scholar 

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Acknowledgments

Financial supports from Tata Steel Europe, Posco, Hyundai Steel, Nucor Steel, RioTinto Iron and Titanium, Nippon Steel and Sumitomo Metals Corp., JFE Steel, Voestalpine, RHI, and the Natural Sciences and Engineering Research Council of Canada are gratefully acknowledged. The authors also want to thank Tata Steel Europe (T. Galama, E. Harbers, R. Kooter, and S. van der Laan) and Hyundai Steel (G.-H. Park and C.-H. Chang) to share vast amounts of their plant data for the development of this model.

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Correspondence to In-Ho Jung.

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Manuscript submitted January 11, 2016.

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Van Ende, MA., Jung, IH. A Kinetic Ladle Furnace Process Simulation Model: Effective Equilibrium Reaction Zone Model Using FactSage Macro Processing. Metall Mater Trans B 48, 28–36 (2017). https://doi.org/10.1007/s11663-016-0698-6

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  • DOI: https://doi.org/10.1007/s11663-016-0698-6

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