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Computational fluid-dynamics simulation of postcombustion in the electric-arc furnace

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Abstract

To obtain insight on the characteristics of postcombustion (PC) inside an electric-arc furnace (EAF), a three-dimensional computational fluid-dynamics (CFD) model was developed. Simulations of the process, including the PC reactions, radiation heat transfer, and de-PC reactions have been conducted. Dissociation reactions of the PC products were also considered in the PC model. The predicted temperatures are realistic because of the inclusion of radiation and the dissociation of CO2. Based on gas/liquid and gas/solid interfacial reaction kinetics, a de-PC reaction model was developed and successfully integrated into the CFD model to simulate the reactions between O2/CO2 and carbon in the liquid metal, the electrodes, and the scrap. It was found that the de-PC reactions decrease the net heat generated by reactions in the furnace and decrease the PC ratio. The rate of oxidation of the electrodes was also calculated. Radiation was found to be the main heat-transfer mechanism from hot combustion gas to the metal and furnace wall. Under a flat-bath condition, the heat-transfer efficiency is very poor, most of the heat generated by PC is transferred to the furnace wall. When a low-temperature scrap pile exists in the furnace, the heat-transfer efficiency is improved significantly. Air ingress from the slag door significantly decreased the PC ratio and the heat-transfer efficiency.

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Abbreviations

C p :

heat capacity, J/kgK

h :

enthalpy, J

ΔH :

enthalpy change from a reaction, J

k :

reaction rate constant, g mol/m2 · s · atm

p :

pressure, N/m2

P :

pressure, atm

r :

reaction rate, g mol/m2s

R :

universal gas constant, 8314.0

t :

time, s

T :

temperature, K

U :

velocity, m/s

W :

molar weight, g/g mol

X :

molar concentration

Y :

mass fraction

Γ:

molecular diffusion coefficient (= ρD AB where D AB is the diffusivity)

μ :

viscosity, Ns/m2

ρ :

density, kg/m3

σ i :

turbulent Prandtl number for species i

References

  1. F. Oeters: Proc. Savard-Lee Symp. on Bath Smelting, Montreal, PQ, Canada, Oct. 1992. TMS, Warrendale, PA, 1992, pp. 249–89.

    Google Scholar 

  2. L. Zhang and F. Oeters: Steel Res., 1991, vol. 62 (3), pp. 95–106.

    CAS  Google Scholar 

  3. L. Zhang and F. Oeters: Steel Res., 1991, vol. 62 (3), pp. 107–16.

    CAS  Google Scholar 

  4. L. Zhang and F. Oeters: Steel Res., 1993, vol. 64 (11), pp. 542–48.

    CAS  Google Scholar 

  5. L. Zhang and F. Oeters: Steel Res., 1993, vol. 64 (12), pp. 588–96.

    CAS  Google Scholar 

  6. F. Oeters, L. Zhang, and R. Steffen: Proc. Ethem T. Turkdogan Symp., ISS, Warrendale, PA, 1994, pp. 23–43.

    Google Scholar 

  7. J.P. Moodie, M.P. Davis, and M. Cross: 7th Process Technology Conf. Proc., ISS-AIME, Warrendale, PA, 1988, pp. 55–64.

    Google Scholar 

  8. G.J. Hardie, M. Cross, R.J. Batterham, M.P. Davis, and M.P. Schwarz: 10th Process Technology Conference Proceedings, ISSAIME, Warrendale, PA, 1992, pp. 109–21.

    Google Scholar 

  9. G.J. Hardie, I.F. Taylor, J.M. Ganser, J.K. Wright, M.P. Davis, and C.W. Boon: Proc. Savard-Lee Symp. on Bath Smelting, Montreal, PQ, Canada, Oct. 1992, TMS, Warrendale, PA, pp. 623–44.

    Google Scholar 

  10. A. Shinotake and Y. Takamoto: Rev. Metall., 1993, pp. 965–73

  11. U. Becker-Lemgau and K.H. Tacke: Steel Res., 1996, vol. 67 (4), pp. 127–37

    CAS  Google Scholar 

  12. H. Gou, G.A. Irons, and W.-K. Lu: Metall. Mater. Trans. B, 1993, vol. 24B, pp. 179–88.

    CAS  Google Scholar 

  13. S.R. Story and R.J. Fruehan: Biennial Materials Conference of The Institute of Materials Engineering, Wollongong University Press, Wollongong, (Australia), July 1998, pp. 77–82.

    Google Scholar 

  14. L.N. Eastep and R.J. Fruehan: 2000 Electric Furnace Conf. Proc., ISS, Warrendale, PA, 2000, pp. 49–62.

    Google Scholar 

  15. CFX-4.2: Solver, AEA Technology plc., 1997, pp. 301–65.

  16. T.J. Kim, R.A. Yetter, and F.L. Dryer: 25th Symp. (Int.) on Combustion, The Combustion Institute, Pittsburgh, PA, 1994, pp. 759–66.

    Google Scholar 

  17. G.R. Belton: Advenced Pysical Chemistry for Process Metallurgy, Academic Press Ltd., 1997, pp. 198–204.

  18. S.R. Story and R.J. Fruehan: Metall. Mater. Trans. B, 2000, vol. 31B, pp. 43–54.

    Article  CAS  Google Scholar 

  19. L.N. Eastep: Ph.D. Dissertation, Carnegie Mellon University, 2000.

  20. S.V. Patankar: Numerical Heat Transfer and Fluid Flow, Hemisphere Publ. Corp., Washington, DC, 1983.

    Google Scholar 

  21. H.L. Stone: SIAM J. Num. Anal., 1968, vol. 7, p. 104.

    CAS  Google Scholar 

  22. R.D. Lonsdale: Int. J. Num. Meth. Heat Fluid Flow, 1993, vol. 3 (1), pp. 3–14.

    CAS  Google Scholar 

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Li, Y., Fruehan, R.J. Computational fluid-dynamics simulation of postcombustion in the electric-arc furnace. Metall Mater Trans B 34, 333–343 (2003). https://doi.org/10.1007/s11663-003-0079-9

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  • DOI: https://doi.org/10.1007/s11663-003-0079-9

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