A Random Pore Model Approach Towards Hematite to Iron Reduction by Carbon Monoxide: A Computational and Experimental Study

Metallurgical and Materials Transactions B Pub Date : 2024-07-12 DOI:10.1007/s11663-024-03206-y

Masoud Khani, Habib Ale Ebrahim, Sajjad Habibzadeh

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Abstract

In this work, the random pore model (RPM) is utilized for the kinetic study of hematite reduction to Iron with CO. This can significantly contribute to the more effective design of reduction reactors in Iron production plants. Indeed, the developed RPM in this work employs a real pore size distribution (PSD) of the solid reactant, resulting in more realistic and accurate kinetic parameters. Accordingly, the kinetic parameters were calculated via RPM using the data from the reduction experiments of a highly porous pure hematite pellet. Validation of such kinetic parameters by different pure hematite and industrial pellets with various porous structures demonstrated RPM as the most comprehensive non-catalytic gas–solid reactions model. The activation energy obtained for the mentioned reaction was calculated at 25.5 kJ/mol. In addition, oxygen ions showed a mean diffusion coefficient of 1.18 × 10⁻¹⁶ m²/s for the industrial pellets through the Iron product layer. Furthermore, the importance of adjusting the CO–CO₂ ratio on the conversion in the reduction reactor was discussed. The results of this work could help reduce the amount of required CO and CO₂ product during the reduction of hematite to Iron.

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一氧化碳将赤铁矿还原成铁的随机孔隙模型方法：计算与实验研究

摘要在这项工作中，随机孔隙模型（RPM）被用于赤铁矿与 CO 还原成铁的动力学研究。这将大大有助于铁生产厂更有效地设计还原反应器。事实上，这项工作中开发的 RPM 采用了固体反应物的真实孔径分布 (PSD)，从而获得了更真实、更准确的动力学参数。因此，利用高多孔纯赤铁矿球团的还原实验数据，通过 RPM 计算出了动力学参数。通过不同的纯赤铁矿和具有各种多孔结构的工业球团对这些动力学参数进行验证，证明 RPM 是最全面的非催化气固反应模型。经计算，上述反应的活化能为 25.5 kJ/mol。此外，氧离子通过铁产品层的平均扩散系数为 1.18 × 10-16 m2/s。此外，还讨论了调整 CO-CO2 比率对还原反应器中转化率的重要性。这项工作的结果有助于减少赤铁矿还原成铁过程中所需的 CO 和 CO2 产物量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Metallurgical and Materials Transactions B

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