A mesoscale model for heterogeneous reactions in porous media applied to reducing porous iron oxide

He, Kun; Zheng, Zhong; Chen, Zhiwei

doi:10.1016/j.ces.2023.118947

Cited by 1 publication

(1 citation statement)

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“…The applications of this approach in the steel‐ and iron‐related fields have focused almost exclusively on modeling the solidification structure in continuous casting or cooling, [ 25‐29 ] the recrystallization structure after heat treatment or hot working, [ 30‐36 ] and corrosion. [ 37,38 ] To date and to the authors’ knowledge, only two studies, both conducted by He et al, [ 39,40 ] have focused on the reduction of iron oxides by hydrogen alone. On the contrary, cellular automata models describing direct reduced iron (DRI) production in shaft reactors are still lacking.…”

Section: Introductionmentioning

confidence: 99%

A Simplified Approach Based on Cellular Automata for Describing Direct Reduced Iron Production in Different Reducing Conditions

Mapelli,

Dall’Osto,

Mombelli

et al. 2023

steel research int.

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A quick computation approach based on cellular automata is developed and implemented to describe the reduction of iron ore pellets by a mixture of reducing agents featured by different H2/CO ratios. The evolution of oxygen concentration inside the pellet is followed from the beginning to the end of contact between reducing agent and pellet. The variation of thermal state of pellets and gas mixture is computed based on their initial temperature, considering the heat involved and the convective heat exchange between pellet and gas mixture. The use of cellular automata and finite‐difference method to solve the diffusion equation point out the absence of any diffusion coefficient value, allowing to make the model fit the experimental trial, because the problem is that it is not ruled just by diffusion but also by the concentration variation of reducing agent inside the pellet due to porosity increasing during reduction. The updating of the reducing agents concentration implies a sharp decrease of oxygen concentration that the cellular automata model considers. The developed model is able to provide the in‐line control of reduction process and could be used to adjust the chemical concentration and temperature of injected reducing agents.

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