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Numerical Analysis of the Characteristics Inside Pre-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预还原竖炉内部特性的数值分析及其运行参数优化

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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)–H_(2)–H_(2)O reducing gas with the temperature 1050–1100 K, the volume fraction of CO+CO_(2) around 70%, the ratio of CO to CO_(2) 5–7, as low as possible H_(2)O content, and the reasonably matched burden solid charging rate to control the top gas consumption per ton burden solid (TGC) in the range of 800–1000 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。由建立的模型预测,温度为1050-1100 K的CO–CO_(2)–H_(2)–H_(2)O还原气体,CO + CO_(2)的体积分数约为70%,该比率的CO到CO_(2)5–7的含量,尽可能低的H_(2)O含量,以及合理匹配的装料固体装料速率,以控制每吨装料固体(TGC)的最高气体消耗在800–1000 Nm〜(3)/ t是进一步提高熔炉效率的最佳操作条件。

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