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Volume 4 Issue 4
Dec.  1997
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ZHANG Lifeng, JING Xuejing, LI Jiying, XU Thongbo,  and CAI Kaike, Mathematical Model of Decarburization of Ultra Low Carbon Steel during RH Treatment, J. Univ. Sci. Technol. Beijing, 4(1997), No. 4, pp. 19-23.
Cite this article as:
ZHANG Lifeng, JING Xuejing, LI Jiying, XU Thongbo,  and CAI Kaike, Mathematical Model of Decarburization of Ultra Low Carbon Steel during RH Treatment, J. Univ. Sci. Technol. Beijing, 4(1997), No. 4, pp. 19-23.
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Mathematical Model of Decarburization of Ultra Low Carbon Steel during RH Treatment

  • According to the balance of carbon and oxygen, a decarburization model for the RH treatment has been developed. in which the influence of the mass transfer of carbon and oxygen in the liquid steel and the stirring energy (ε) in the vacuum vessel on decarburization rate has been considered. The conclusion that the volumetric coefficients of the mass transfer of carbon is proportional to ε1.5 is drawn. Industrical experiment proves this model is reliable. The influence of some factors on decarburization rate has been obtained. which can provide directions for RH treatment The decarburization behavior of steel with RH-OB treatment is also studied. The OB-or-not curve, the optimized OB time and OB amount are discussed.
  • Mathematical Model of Decarburization of Ultra Low Carbon Steel during RH Treatment

    + Author Affiliations
    • According to the balance of carbon and oxygen, a decarburization model for the RH treatment has been developed. in which the influence of the mass transfer of carbon and oxygen in the liquid steel and the stirring energy (ε) in the vacuum vessel on decarburization rate has been considered. The conclusion that the volumetric coefficients of the mass transfer of carbon is proportional to ε1.5 is drawn. Industrical experiment proves this model is reliable. The influence of some factors on decarburization rate has been obtained. which can provide directions for RH treatment The decarburization behavior of steel with RH-OB treatment is also studied. The OB-or-not curve, the optimized OB time and OB amount are discussed.
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