<p>In the converter steelmaking process, the flow dynamics is closely related to the refractory lining structure of the bath, such as hearth height-to-diameter (H/D) ratio and lining erosion at different campaign stages. The step of pre-processing in computational fluid dynamics (CFD) simulation is time-consuming for different lining structures, and usually takes around a week per case using the traditional direct modeling method. A parametric modeling tool has been developed to quickly generate various converter structures with quality structured grids within seconds, based on Python and OpenFOAM software. CFD simulations were established and validated using hydraulic modeling to investigate the flow dynamics and lining erosion characteristics in a 100 t top–bottom combined blowing converter under different H/D ratios and campaign stages (initial, middle, and late). The results show that the average molten bath velocity is positively correlated with bath depth. An increase in bath depth extends the path length for kinetic energy transfer of combined blowing gas streams. Excessively large bath depth or diameter will deteriorate the flow pattern and result into corresponding dead zones. Furnace wall and bottom erosion intensifies at higher H/D ratios but decreases in the late campaign stages. The H/D ratio of 1.67 is recommended in the initial design stage considering the flow characteristics. In the late campaign stage, increasing the bottom-blowing flow rate and carrying out furnace maintenance operations are recommended to maintain metallurgical efficiency and lining safety.</p>

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Parametric modeling and CFD simulations of steelmaking converters with different lining structures

  • Shuang Wu,
  • Jiang-Shan Zhang,
  • Qi-Qi Jiang,
  • Yu-Hong Liu,
  • Shu-Feng Yang,
  • Yan Yu,
  • Xu-Feng Liu,
  • Qing Liu

摘要

In the converter steelmaking process, the flow dynamics is closely related to the refractory lining structure of the bath, such as hearth height-to-diameter (H/D) ratio and lining erosion at different campaign stages. The step of pre-processing in computational fluid dynamics (CFD) simulation is time-consuming for different lining structures, and usually takes around a week per case using the traditional direct modeling method. A parametric modeling tool has been developed to quickly generate various converter structures with quality structured grids within seconds, based on Python and OpenFOAM software. CFD simulations were established and validated using hydraulic modeling to investigate the flow dynamics and lining erosion characteristics in a 100 t top–bottom combined blowing converter under different H/D ratios and campaign stages (initial, middle, and late). The results show that the average molten bath velocity is positively correlated with bath depth. An increase in bath depth extends the path length for kinetic energy transfer of combined blowing gas streams. Excessively large bath depth or diameter will deteriorate the flow pattern and result into corresponding dead zones. Furnace wall and bottom erosion intensifies at higher H/D ratios but decreases in the late campaign stages. The H/D ratio of 1.67 is recommended in the initial design stage considering the flow characteristics. In the late campaign stage, increasing the bottom-blowing flow rate and carrying out furnace maintenance operations are recommended to maintain metallurgical efficiency and lining safety.