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A CFD Based Algorithm for Kinetics Analysis of the Reduction of Hematite Concentrate by H_2 + CO Mixtures in a Drop Tube Reactor

机译:基于CFD的滴管反应器中H_2 + CO混合物还原赤铁矿精矿动力学分析的算法

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A novel flash ironmaking process is under development at the University of Utah. A computational fluid dynamics (CFD) approach, coupled with experimental results, was developed for the analysis of the kinetics of reduction of hematite concentrate by H_2 + CO mixtures at 1150-1350 ℃ in a drop tube reactor. Rate expressions of hematite concentrate reduction by single gases (H_2 or CO) were used in the analysis of the experimental data under H_2 + CO mixtures. Synergistic effects, which were found in the H_2 + CO mixture experiments compared with simple summation of contributions of component gases, was considered in this paper. The gas phase was treated as a continuum in the Eulerian frame of reference, and the particles are tracked using a Lagrangian approach in the evaluation of the particle residence time and temperature profile inside the reactor. The calculated reduction degrees based on this approach are in good agreement with the experimental values.
机译:犹他大学正在开发一种新颖的闪速炼铁工艺。开发了一种计算流体动力学(CFD)方法,并结合实验结果,用于在滴管反应器中分析H_2 + CO混合物在1150-1350℃下还原赤铁矿精矿的动力学。将单一气体(H_2或CO)还原赤铁矿精矿的速率表达式用于分析H_2 + CO混合物下的实验数据。本文考虑了在H_2 + CO混合物实验中发现的协同效应,并将其与组分气体贡献的简单总和进行了比较。在欧拉参照系中将气相视为连续体,并使用拉格朗日方法跟踪颗粒,以评估反应器内部的颗粒停留时间和温度曲线。基于这种方法计算的还原度与实验值非常吻合。

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