Article
Towards more efficient control of the ironmaking blast furnace: modelling gaseous reduction of iron ores in H2-N2 atmosphere
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Abstract
The fraction of hydrogen (H2) in the blast furnace (BF) shaft gas containing a notable portion of nitrogen (N2) is expected to increase. For more efficient control of the BF, it is therefore desirable to conduct more rigorous studies on gaseous reduction of iron ores especially in H2-N2 atmosphere. In this paper, an unreacted shrinking core model (USCM) with multicomponent gas diffusion for iron ore reduction in H2-N2 atmosphere is developed. The resultant nonlinear equations are solved using the 4th order Runge-Kutta method. The present model and the original USCM are compared based on a series of pertinent experimental data.
Keywords
blast furnace, iron ore reduction, gas-solid reaction, unreacted shrinking-core model, multicomponent gas diffusion, AMNS-D-22-00013
Citation
Yao, S., Che, Y., & Mohamed, H. (2022). Towards more efficient control of the ironmaking blast furnace: Modelling gaseous reduction of iron ores in H2-N2 atmosphere. Applied Mathematics and Nonlinear Sciences, 7(1), 1033–1042. https://doi.org/10.2478/amns.2022.1.00010
S. Yao, Y. Che and H. Mohamed, “Towards more efficient control of the ironmaking blast furnace: Modelling gaseous reduction of iron ores in H2-N2 atmosphere,” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 1, pp. 1033–1042, 2022, doi: 10.2478/amns.2022.1.00010.
Yao S, Che Y, Mohamed H. Towards more efficient control of the ironmaking blast furnace: Modelling gaseous reduction of iron ores in H2-N2 atmosphere. Applied Mathematics and Nonlinear Sciences. 2022;7(1):1033–1042. doi:10.2478/amns.2022.1.00010.
Yao, S., Che, Y. and Mohamed, H. (2022), ‘Towards more efficient control of the ironmaking blast furnace: Modelling gaseous reduction of iron ores in H2-N2 atmosphere’, Applied Mathematics and Nonlinear Sciences, 7(1), pp. 1033–1042. Available at: https://doi.org/10.2478/amns.2022.1.00010.
Yao, Shuo, et al. “Towards More Efficient Control of the Ironmaking Blast Furnace: Modelling Gaseous Reduction of Iron Ores in H2-N2 Atmosphere.” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 1, 2022, pp. 1033–1042. https://doi.org/10.2478/amns.2022.1.00010.
Yao, Shuo, Yuman Che, and Hamdy Mohamed. “Towards More Efficient Control of the Ironmaking Blast Furnace: Modelling Gaseous Reduction of Iron Ores in H2-N2 Atmosphere.” Applied Mathematics and Nonlinear Sciences 7, no. 1 (2022): 1033–1042. https://doi.org/10.2478/amns.2022.1.00010.
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Published by: Engineering Journals


