A Kinetic Model for the Ruhrstahl Heraeus (RH) Degassing Process
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A kinetic model (effective equilibrium reaction zone model) was developed to simulate the decarburization reaction in the Ruhrstahl Heraeus (RH) degassing process. The model assumes that the chemical reactions reach equilibrium in the designated effective reaction volumes near the reaction interfaces. After the RH degassing process was divided into various reaction zones, the effective reaction volumes of each reaction zone were expressed as a function of the process conditions based on the physical descriptions of the reaction mechanisms. The influence of the chemical reaction between the RH slag and the RH steel to the decarburization phenomena was considered for the first time. The calculated C and O profiles by the present model are in good agreement with the industrial operation data for various steel compositions and process conditions. RH slag can serve as an oxygen reservoir to supply O during the RH decarburization process, which induces the observed deviation of the C and O contents from their ideal stoichiometric trajectory. The present model provides an efficient tool to understand the RH degassing process.
KeywordsReaction Zone Decarburization Molten Steel Bubble Surface Bath Surface
The authors wish to thank POSCO and the Research Institute of Industrial Science and Technology for their financial support and industrial run data.
- 1.T. Kuwabara, K. Umezawa, K. Mori, and H. Watanabe: Trans. ISIJ, 1988, vol. 28, no. 4, pp. 305-14.Google Scholar
- 7.J.F. Domgin, P. Gardin, H. Saint-Raymond, F. Stouvenot, and D. Huin: Steel Res. Int., 2005, vol. 76, no. 1, pp. 5-12.Google Scholar
- 8.J.H. Wei and H.T. Hu: Steel Res. Int., 2006, vol. 77, no. 1, pp. 32-36.Google Scholar
- 10.V. Seshadri and S. Costa: Trans. ISIJ, 1986, vol. 26, no. 2, pp. 133-38.Google Scholar
- 11.C. Kamata, S. Hayashi, and K. Ito: Tetsu-To-Hagané, 1998, vol. 84, no. 7, pp. 484-89.Google Scholar
- 14.FactSage: http://www.factsage.com, 2010.
- 15.J. Lehmann, N. Botems, M. Simonnet, P. Gardin, and L. Zhang: Proc. Int. Conf. on Advances in Theory of Ironmaking and Steelmaking, Indian Institute of Science, Bangalore, India, 2009, pp. 232-39.Google Scholar
- 16.A.D. Pelton and M. Blander: Proc. 2nd Int. Symp. on Metallurgical Slags and Fluxes, TMS AIME, Lake Tahoe, NV, 1984, pp. 281-94.Google Scholar
- 21.Y.-S. Hsieh, Y. Watanabe, S. Asai, and I. Muchi: Tetsu-To-Hagané, 1983, vol. 69, no. 6, pp. 596-603.Google Scholar
- 22.D. Thompson and B.B. Argent: T. I. Min. Metall. C, 2007, vol. 116, no. 2, pp. 115-22.Google Scholar
- 24.K. Penttilä and M. Yokota: VTT Research Notes - Advanced Gibbs Energy Methods for Functional Materials and Processes, Ed. P. Koukkari, VTT Technical Research Centre, Helsinki, Finland, 2009, pp. 103-23.Google Scholar
- 25.METSIM Process Simulator: http://www.metsim.com, 2010.
- 26.D.G.C. Robertson: Proc. EPD Congress 1995, Symp. TMS Annual Meeting, The Minerals, Metals and Materials Society, Las Vegas, NV, 1995, pp. 347–61.Google Scholar
- 27.J. Peter, K.D. Peaslee, D.G.C. Robertson, and B.G. Thomas: Proc. AISTech 2005 - Iron & Steel Technology Conf., AIST, Charlotte, NC, 2005,pp. 959-73.Google Scholar
- 29.S. Kitamura, K. Miyamoto, and R. Tsujino: Tetsu-To-Hagané, 1994, vol. 80, no. 2, pp. 101-06.Google Scholar
- 30.S. Kitamura, M. Yano, K. Harashima, and N. Tsutumi: Tetsu-To-Hagané, 1994, vol. 80, no. 3, pp. 213-18.Google Scholar
- 32.H. Saint-Raymond, D. Huin, and F. Stouvenot: Mater. Trans. JIM, 2000, vol. 41, no. 1, pp. 17-21.Google Scholar
- 35.J.E. Lee: Report CFD Simulation for RH Process of Gwangyang Steelworks, Research Institute of Industrial Science and Technology, Pohang, Korea, 2010.Google Scholar
- 37.C.H. Keum, S.M. Seo, and J.H. Choi: Report Improvement of RH Refining Capacity of Ultra Low Carbon Steel, POSCO Research, Pohang, Korea, 2007.Google Scholar