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Numerical Analysis of the Characteristics Inside Pr;e-reduction Shaft Furnace and Its Operation Parameters Optimization by Using a Three-Dimensional Full Scale Mathematical Model

机译:三维全尺寸数学模型对Pr还原炉内部特性的数值分析及其运行参数优化

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摘要

Numerical simulation is considered to be an important method to study the inner characteristics of metallurgical processes, thus providing effective strategies for practical smooth operations. A three-dimensional full scale mathematical model considering mass, momentum, energy transfers and chemical reactions under steady state is developed in the present work to describe the characteristics inside the pre-reduction shaft furnace of COREX smelting reduction ironmaking process. The uneven gas and solid flow distributions in both radial and axial directions not only restrain the gas utilization but also cause the difference in the solid metallization between the center and near wall to reach as high as 0.4. Predicted by the established model, the CO-CO_2-H2-H2O reducing gas with the temperature 1 050-1 100 K, the volume fraction of CO+CO_2 around 70%, the ratio of CO to CO_2 5-7, as low as possible H_2O content, and the reasonably matched burden solid charging rate to control the top gas consumption per ton burden solid (TGC) in the range of 800-1 000 Nm~3/t, are the optimal operation conditions to further improve furnace efficiency.
机译:数值模拟被认为是研究冶金过程内部特性的重要方法,从而为实际的平稳运行提供了有效的策略。在目前的工作中,建立了一个考虑质量,动量,能量转移和化学反应的三维全方位数学模型,以描述COREX冶炼还原炼铁工艺的预还原竖炉内部的特性。气体和固体在径向和轴向上的不均匀分布不仅限制了气体的利用,而且导致中心壁和近壁之间的固体金属化差异高达0.4。通过建立的模型预测,温度为1050-100K的CO-CO_2-H2-H2O还原气,CO + CO_2的体积分数约为70%,CO与CO_2的比例为5-7,低至最佳的操作条件是进一步提高炉子效率的最佳操作条件。H_2O的可能含量以及合理匹配的重载固体装料速率将每吨重载固体(TGC)的最高气体消耗控制在800-1 000 Nm〜3 / t的范围内。

著录项

  • 来源
    《ISIJ international》 |2013年第4期|576-582|共7页
  • 作者单位

    Formerly Graduate Student, School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing. Now at Department of Metallurgical Engineering, College of Materials Science and Engineering, Chongqing University,Chongqing, 400044 China.;

    School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, 100083 China.;

    School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, 100083 China.;

    School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, 100083 China.;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    inner characteristics; iron oxide pre-reduction; shaft furnace; operation condition optimization; three-dimensional mathematical model.;

    机译:内部特征氧化铁预还原竖炉运行条件优化;三维数学模型。;

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