Numerical simulation of flash reduction in a drop tube reactor with variable temperatures

Yiru Yang , Qipeng Bao , Lei Guo , Zhe Wang , Zhancheng Guo

International Journal of Minerals, Metallurgy, and Materials ›› 2022, Vol. 29 ›› Issue (2) : 228 -238.

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International Journal of Minerals, Metallurgy, and Materials ›› 2022, Vol. 29 ›› Issue (2) : 228 -238. DOI: 10.1007/s12613-020-2210-1
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Numerical simulation of flash reduction in a drop tube reactor with variable temperatures

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Abstract

A computational fluid dynamics (CFD) model was developed to accurately predict the flash reduction process, which is considered an efficient alternative ironmaking process. Laboratory-scale experiments were conducted in drop tube reactors to verify the accuracy of the CFD model. The reduction degree of ore particles was selected as a critical indicator of model prediction, and the simulated and experimental results were in good agreement. The influencing factors, including the particle size (20–110 µm), peak temperature (1250–1550°C), and reductive atmosphere (H2/CO), were also investigated. The height variation lines indicated that small particles (50 µm) had a longer residence time (3.6 s) than large particles. CO provided a longer residence time (∼1.29 s) than H2 (∼1.09 s). However, both the experimental and analytical results showed that the reduction degree of particles in CO was significantly lower than that in H2 atmosphere. The optimum experimental particle size and peak temperature for the preparation of high-quality reduced iron were found to be 50 µm and 1350°C in H2 atmosphere, and 40 µm and 1550°C in CO atmosphere, respectively.

Keywords

flash reduction / hematite particles / drop tube reactor / numerical analysis

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Yiru Yang, Qipeng Bao, Lei Guo, Zhe Wang, Zhancheng Guo. Numerical simulation of flash reduction in a drop tube reactor with variable temperatures. International Journal of Minerals, Metallurgy, and Materials, 2022, 29(2): 228-238 DOI:10.1007/s12613-020-2210-1

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