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Numerical Simulation of Particle Motion and Wall Scouring Behavior in Steelmaking Converter With Bottom Powder Injection

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Abstract

The coupled Eulerian-multifluid VOF-granular flow model was built to simulate gas–liquid-particle three-phase flow in a 120-ton steelmaking converter with bottom powder injection. Particle transport phenomenon and wall scouring behavior is investigated, and effect of bottom-blowing parameters on particle volume fraction and velocity distribution and wall sheer stress are evaluated. Experimental data measured were compared with simulation results to verify accuracy of simulation results, and particle motion and phase interfaces shape are predicted satisfactorily well. Results show that bottom-blowing parameters have a significant influence on particle transport behavior. Increase of powder mass rate contributes to increase of particle velocity, but aggregation of particles occurs at higher powder mass rates. As powder mass rate increases, wall scouring is aggravated. Reduction of particle diameter facilitates the uniformity of particle distribution and weakens the wall scouring. Increase of bottom blowing flow rate improves particle distribution range and accelerates particle velocity, but aggravates wall scouring. Effect of powder injection on scouring of furnace and bottom walls are higher than that of other walls. Bottom injection powder observably increases the mechanical wear of bottom wall. Combined with analysis of simulation results, it is proposed that conditions favorable to powder injection process should be particle diameter not greater than 0.15 mm, particle mass rate not greater than 1.083 kg/s, and bottom blowing flow rate not less than 160 Nm3/h.

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References

  1. J. Cappel, F. Ahrenhold, M.W. Egger, H. Hiebler, and J. Schenk: Metals, 2022, vol. 12, pp. 912–43.

    CAS  Google Scholar 

  2. F. Wallner and E. Fritz: Metall. Res. Technol., 2002, vol. 99, pp. 825–37.

    CAS  Google Scholar 

  3. G. Wimmer, K. Pastucha, and E. Wimmer: in The 6th International Congress on the Science and Technology of Steelmaking, ICS, Beijing, 2015, pp. 140–42.

  4. K. Yoshiei, S. Toshikazu, F. Tetsuya, and N. Hiroshi: ISIJ Int., 1988, vol. 28, pp. 746–53.

    Google Scholar 

  5. P. Gittler, R. Kickinger, S. Pirker, E. Fuhrmann, J. Lehner, and J. Steins: Scand. J. Metall., 2000, vol. 29, pp. 166–76.

    CAS  Google Scholar 

  6. A.R.N. Meidani, M. Isac, A. Richardson, A. Cameron, and R.I.L. Guthrie: ISIJ Int., 2004, vol. 44, pp. 1639–45.

    CAS  Google Scholar 

  7. A. Nordquist, N. Kumbhat, L. Jonsson, and P. Jonsson: Steel Res. Int., 2006, vol. 77, pp. 82–90.

    CAS  Google Scholar 

  8. K.Y. Chu, H.H. Chen, P.H. Lai, H.C. Wu, Y.C. Liu, C.C. Lin, and M.J. Lu: Metall. Mater. Trans. B, 2016, vol. 47B, pp. 948–62.

    Google Scholar 

  9. W.J. Wu, H.X. Yu, X.H. Wang, H.B. Li, and K. Liu: J. Iron Steel Res. Int., 2015, vol. 22, pp. 80–86.

    Google Scholar 

  10. J.K. Sun, J.S. Zhang, W.H. Lin, L.L. Cao, X.M. Feng, and Q. Liu: Steel Res. Int., 2021, vol. 92, pp. 2100178–79.

    Google Scholar 

  11. N. Asahara, K.I. Naito, I. Kitagawa, M. Matsuo, M. Kumakura, and M. Iwasaki: Steel Res. Int., 2011, vol. 82, pp. 587–94.

    CAS  Google Scholar 

  12. L.L. Cao, Q. Liu, Z. Wang, and N. Li: Ironmak. Steelmak., 2016, vol. 45, pp. 239–48.

    Google Scholar 

  13. O. Olivares, A. Elias, R. Sanchez, M. Diaz-Cruz, and R.D. Morales: Steel Res. Int., 2002, vol. 73, pp. 44–51.

    CAS  Google Scholar 

  14. X. Zhou, M. Ersson, L. Zhong, and P. Jönsson: Metall. Mater. Trans. B, 2015, vol. 47B, pp. 434–45.

    Google Scholar 

  15. M. Li, Q. Li, Z. Zou, and B. Li: JOM., 2018, vol. 71, pp. 729–36.

    Google Scholar 

  16. X. Zhou, Y. Liu, P. Ni, and S. Peng: Steel Res. Int., 2020, vol. 92, pp. 2000334–42.

    Google Scholar 

  17. Y. Li, W.T. Lou, and M.Y. Zhu: Ironmak. Steelmak., 2013, vol. 40, pp. 505–14.

    CAS  Google Scholar 

  18. H. J. Odenthal, U. Falkenreck, and J. Schlüter: in European Conference on Computational Fluid Dynamics, ed. P. Wesseling, Oñate E. and Périaux J. Delft University of Technology, Netherlands, 2006.

  19. V. Singh, J. Kumar, C. Bhanu, S.K. Ajmani, and S.K. Dash: ISIJ Int., 2007, vol. 47, pp. 1605–12.

    CAS  Google Scholar 

  20. J. Zhang, W. Lou, P. Shao, and M. Zhu: Metall. Mater. Trans. B, 2022, vol. 53B, pp. 3585–3601.

    Google Scholar 

  21. J. Zhang, W. Lou, and M. Zhu: Metall. Mater. Trans. B, 2023, vol. 54B, pp. 1449–67.

    Google Scholar 

  22. M. Akhlaghi, V. Mohammadi, N.M. Nouri, M. Taherkhani, and M. Karimi: Chem. Eng. Res. Des., 2019, vol. 152, pp. 48–59.

    CAS  Google Scholar 

  23. A. Kumar, D. Ghosh, and S. Ghosh: J. Braz. Soc. Mech. Sci. Eng., 2020, vol. 42, pp. 572–602.

    Google Scholar 

  24. H. Liu, W. Zhang, M. Jia, Y. Yan, and Y. He: Comput. Fluids, 2018, vol. 177, pp. 20–32.

    Google Scholar 

  25. K. Song and A. Jokilaakso: Metall. Mater. Trans. B, 2021, vol. 52B, pp. 1772–88.

    Google Scholar 

  26. C.K.K. Lun, S.B. Savage, D.J. Jeffrey, and N. Chepurniy: J. Fluid Mech., 2006, vol. 140, pp. 223–56.

    Google Scholar 

  27. S.H. Hosseini, M. Fattahi, and G. Ahmadi: J. Taiwan Inst. Chem. Eng., 2016, vol. 58, pp. 107–16.

    CAS  Google Scholar 

  28. B.K. Singh, S. Roy, and V.V. Buwa: Ind. Eng. Chem. Res., 2021, vol. 60, pp. 17677–93.

    CAS  Google Scholar 

  29. M.T. Islam and A.V. Nguyen: Chem. Eng. Res. Des., 2020, vol. 159, pp. 13–26.

    CAS  Google Scholar 

  30. N.B. Ballal and A. Ghosh: Metall. Mater. Trans. B, 1981, vol. 12B, pp. 525–34.

    CAS  Google Scholar 

  31. V.B. Okhotskii: Refract. Ind. Ceram., 2001, vol. 42, pp. 411–16.

    CAS  Google Scholar 

  32. M.S. Lee, S. O’Rourke, and N.A. Molloy: Ironmak. Steelmak., 2013, vol. 28, pp. 244–49.

    Google Scholar 

  33. X. Zhou, M. Ersson, L. Zhong, and P.G. Jönsson: Steel Res. Int., 2015, vol. 86, pp. 1328–38.

    CAS  Google Scholar 

  34. Q. Li, M. Li, S.B. Kuang, and Z. Zou: JOM, 2016, vol. 68, pp. 3126–33.

    CAS  Google Scholar 

  35. J. Sun, J. Zhang, W. Lin, X. Feng, and Q. Liu: Metals, 2022, vol. 12, pp. 117–35.

    Google Scholar 

  36. Inc.: FLUENT, 2022 R1 Fluent Theory Guide, Fluent Inc., Lebanon, NH, 2022, p. 2022.

  37. A.D. Burns, T. Frank, I. Hamill, and J.M. Shi: in 5th international conference on multiphase flow, ICMF, (ICMF: 2004), pp. 1–17.

  38. M. Sano and K. Mori: Tetsu To Hagane-J. Iron Steel Inst. Jpn., 1976, vol. 17, pp. 344–52.

    Google Scholar 

  39. D. Gidaspow, R. Bezburuah, and J. Ding: in Fluidization VII, Proceedings of the 7th Engineering Foundation Conference on Fluidization., 1992, pp 75-82.

  40. D.G. Schaeffer: J. Differ. Equ., 1987, vol. 66, pp. 19–50.

    Google Scholar 

  41. P.C. Johnson and R. Jackson: J. Fluid Mech., 2006, vol. 176, pp. 67–93.

    Google Scholar 

  42. C.K.K. Lun and S.B. Savage: Acta Mech., 1986, vol. 63, pp. 15–44.

    Google Scholar 

  43. W. Lou and M. Zhu: Metall. Mater. Trans. B, 2013, vol. 44B, pp. 1251–63.

    Google Scholar 

  44. J.S. Zhang, W.T. Lou, and M.Y. Zhu: J. Iron Steel Res. Int., 2022, vol. 29, pp. 1771–88.

    Google Scholar 

  45. J. Sun, J. Zhang, R. Jiang, X. Feng, and Q. Liu: Steel Res. Int., 2023, vol. 94, pp. 2200532–45.

    CAS  Google Scholar 

  46. G. Wang, S. Zhou, J.B. Joshi, G.J. Jameson, and G.M. Evans: Miner. Eng., 2014, vol. 69, pp. 165–69.

    CAS  Google Scholar 

  47. J.P. Mollicone, M. Sharifi, F. Battista, P. Gualtieri, and C.M. Casciola: Phys. Fluids, 2019, vol. 31, p. 101301.

    Google Scholar 

  48. S. Kalenko and A. Liberzon: Int. J. Multiph. Flow, 2020, vol. 133, p. 103451.

    CAS  Google Scholar 

  49. T.C.W. Lau and G.J. Nathan: J. Fluid Mech., 2016, vol. 809, pp. 72–110.

    CAS  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. U20A20272) and the Fundamental Research Funds for the Central Universities, NEU, (No. N2025017).

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Authors and Affiliations

  1. Key Laboratory for Ecological Metallurgy of Multimetallic Mineral (Ministry of Education), Northeastern University, Shenyang, 110819, P.R. China

    Jingshi Zhang, Wentao Lou & Miaoyong Zhu

  2. School of Metallurgy, Northeastern University, Shenyang, P.R. China

    Jingshi Zhang, Wentao Lou & Miaoyong Zhu

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  1. Jingshi Zhang
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  2. Wentao Lou
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Correspondence to Wentao Lou or Miaoyong Zhu.

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Zhang, J., Lou, W. & Zhu, M. Numerical Simulation of Particle Motion and Wall Scouring Behavior in Steelmaking Converter With Bottom Powder Injection. Metall Mater Trans B 54, 3031–3048 (2023). https://doi.org/10.1007/s11663-023-02886-2

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