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Volume 13 Issue 1
Feb.  2006
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Fangming Yuan, Xinghua Wang, Jiongming Zhang, and Li Zhang, Online forecasting model of tundish nozzle clogging, J. Univ. Sci. Technol. Beijing, 13(2006), No. 1, pp. 21-24. https://doi.org/10.1016/S1005-8850(06)60007-8
Cite this article as:
Fangming Yuan, Xinghua Wang, Jiongming Zhang, and Li Zhang, Online forecasting model of tundish nozzle clogging, J. Univ. Sci. Technol. Beijing, 13(2006), No. 1, pp. 21-24. https://doi.org/10.1016/S1005-8850(06)60007-8
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Metallurgy

Online forecasting model of tundish nozzle clogging

  • 通讯作者:

    Fangming Yuan    E-mail: yfm.m@163.com

  • A nozzle clogging online forecasting model based on hydrodynamics engineering was developed, in which the actual flow rate was calculated from the mold width, thickness, and casting speed. There is a linear relationship between the theoretical flow rate and the slide gate opening ratio as the molten steel level, argon flow rate, and the top slag weight are kept constant, and the relationship can be obtained by regression of the data collected at the beginning of the first heat in each casting sequence when the nozzle clogging does not occur. Then, during the casting, the theoretical flow rate can be calculated at intervals of one second. Comparing the theoretical flow rate with the actual flow rate, the online nozzle clogging ratio can be obtained at intervals of one second. The computer model based on the conception of the nozzle clogging ratio can display the degree of the nozzle clogging intuitively.
  • Metallurgy

    Online forecasting model of tundish nozzle clogging

    + Author Affiliations
    • A nozzle clogging online forecasting model based on hydrodynamics engineering was developed, in which the actual flow rate was calculated from the mold width, thickness, and casting speed. There is a linear relationship between the theoretical flow rate and the slide gate opening ratio as the molten steel level, argon flow rate, and the top slag weight are kept constant, and the relationship can be obtained by regression of the data collected at the beginning of the first heat in each casting sequence when the nozzle clogging does not occur. Then, during the casting, the theoretical flow rate can be calculated at intervals of one second. Comparing the theoretical flow rate with the actual flow rate, the online nozzle clogging ratio can be obtained at intervals of one second. The computer model based on the conception of the nozzle clogging ratio can display the degree of the nozzle clogging intuitively.
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