<abstract xmlns="http://www.w3.org/1999/xhtml">

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.
</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.

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

Department of Civil and Architectural Engineering

College of Engineering, Applied Science University

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

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...

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

Data publikacji: 22 sie 2022

Zakres stron: 1033 - 1042

Otrzymano: 13 gru 2021

Przyjęty: 15 maj 2022

DOI: https://doi.org/10.2478/amns.2022.1.00010

Słowa kluczowe
blast furnace, iron ore reduction, gas-solid reaction, unreacted shrinking-core model, multicomponent gas diffusion

© 2022 Shuo Yao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Data publikacji: 22 sie 2022

Zakres stron: 1033 - 1042

Otrzymano: 13 gru 2021

Przyjęty: 15 maj 2022

DOI: https://doi.org/10.2478/amns.2022.1.00010

Słowa kluczoweblast furnace, iron ore reduction, gas-solid reaction, unreacted shrinking-core model, multicomponent gas diffusion

© 2022 Shuo Yao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Słowa kluczowe
blast furnace, iron ore reduction, gas-solid reaction, unreacted shrinking-core model, multicomponent gas diffusion