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The Application of an Effective Equilibrium Reaction Zone Model Based on CALPHAD Thermodynamics to Steel Making

  • Paul MasonEmail author
  • A. Nicholas Grundy
  • Ralf Rettig
  • Lina Kjellqvist
  • Johan Jeppsson
  • Johan Bratberg
Conference paper
  • 741 Downloads
Part of the The Minerals, Metals & Materials Series book series (MMMS)

Abstract

TCOX9 is a thermodynamic database (developed using CALPHAD) which describes the thermochemical interactions between liquid steel and slag during steel making and refining. It contains all the major steel alloying elements (Fe–C–Co–Cr–Cu–Mn–Mo–Nb–Ni–V–W–Ti) as well as the most important slag elements (Ca–Mg–Si–Al–F–O–P–S). The ionic liquid model describes the liquid phase over the whole composition range from metallic liquid (steel) to oxide liquid (slag). The database also contains the most important metallic and non-metallic solid phases, allowing the calculation of inclusion formation, inclusion modification, steel solidification, slag solidification, steel–refractory reactions, slag–refractory reactions, and steel–mould powder reactions. For use with this database, a new process metallurgy module has been developed within Thermo-Calc which makes it easy to set up calculations for steel and slag. An extension to the module is under development that incorporates a kinetic model of the steelmaking process based on the concept of effective equilibrium reaction zones. This model is outlined in detail in this paper and applied to a ladle furnace steel refining process.

Keywords

Steel Slag Process metallurgy Steel making Steel refining Kinetic modelling CALPHAD 

References

  1. 1.
    Kaufman L, Bernstein H (1970) Computer calculation of phase diagrams (With special reference to refractory metals). Academic Press Inc., New YorkGoogle Scholar
  2. 2.
    TCOX9: TCS Metal Oxide Solutions Database, v9.0. Database owner: Thermo-Calc Software AB. www.thermocalc.com. Accessed 29 Aug 2019
  3. 3.
    Peter J, Peaslee KD, Robertson DGC, Thomas BG (2005) Experimental study of kinetic processes during the steel treatment at two LMF’s. Proc AISTech 1:959–973Google Scholar
  4. 4.
    Van Ende MA, Jung IH (2017) A kinetic ladle furnace process simulation model: effective equilibrium reaction zone model using FactSage macro processing. Met Mat Trans B 48B:28–36CrossRefGoogle Scholar
  5. 5.
    Van Ende MA, Jung IH (2015) A kinetic process simulation model for basic oxygen furnace (BOF): importance of slag chemistry for BOF operation. CAMP-ISIJ 28:527–530Google Scholar
  6. 6.
    Van Ende MA, Kim YM, Cho MK, Choi JH, Jung IH (2011) A kinetic model for the Ruhrstahl Heraeus (RH) degassing process. Metall Mater Trans B 42:477–489CrossRefGoogle Scholar
  7. 7.
    Graham KJ, Irons GA (2009) Toward integrated ladle metallurgy control. Iron Steel Technol 6(1):164–173Google Scholar
  8. 8.
    Hillert M, Jansson B, Sundman B, Ågren J (1985) A two-sublattice model for molten solutions with different tendency for ionization. Metall Trans A 16:261–266CrossRefGoogle Scholar
  9. 9.
    Sundman B (1991) Modification of the two-sublattice model for liquids. CALPHAD 15:109–119CrossRefGoogle Scholar
  10. 10.
    Allertz C (2016) Sulfur and nitrogen in ladle slag. Ph.D. thesis, KTH Royal Institute of Technology, Stockholm, SwedenGoogle Scholar
  11. 11.
    Dilner D, Kjellqvist L, Mao H, Selleby M (2018) Improving steel and steelmaking—an ionic liquid database for alloy process design. Integr Mat Mat Innov 7(4):195–201CrossRefGoogle Scholar
  12. 12.
    Harada A, Maruoka N, Shibata H, Kitamura S (2013) A kinetic model to predict the compositions of metal, slag and inclusions during ladle refining: Part 1. Basic Concept Appl ISIJ Int 53:2110–2117Google Scholar
  13. 13.
    Grundy AN, Jeppsson A, Jansson A, Bratberg J, Rettig R, Kjellqvist L, Powell M (2019) Towards a complete thermodynamic description of the steel making process from scrap to bar. Paper presented at the METEC & 4th ESTAD, Düsseldorf, Germany, 27 June 2019Google Scholar
  14. 14.
    Bale CW et al (2016) FactSage thermochemical software and databases, 2010–2016. CALPHAD 54:35–53CrossRefGoogle Scholar

Copyright information

© The Minerals, Metals & Materials Society 2020

Authors and Affiliations

  • Paul Mason
    • 1
    Email author
  • A. Nicholas Grundy
    • 2
  • Ralf Rettig
    • 2
  • Lina Kjellqvist
    • 2
  • Johan Jeppsson
    • 2
  • Johan Bratberg
    • 2
  1. 1.Thermo-Calc Software IncMcMurrayUSA
  2. 2.Thermo-Calc Software ABSolnaSweden

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