Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 1


Published
on

August 22, 2022


Pages

1033-1042


DOI

Article

Towards more efficient control of the ironmaking blast furnace: modelling gaseous reduction of iron ores in H2-N2 atmosphere

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Authors

Shuo Yao Affiliation:
Ansteel Iron & Steel Research Institute, Anshan, Liaoning 114009, China
, Yuman Che Affiliation:
Ansteel Iron & Steel Research Institute, Anshan, Liaoning 114009, China
and Hamdy Mohamed Affiliation:
Department of Civil and Architectural Engineering, College of Engineering, Applied Science University, Bahrain


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

Published by: Engineering Journals

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