Record link: 
http://hdl.handle.net/20.500.12708/188889
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Title: 
Investigation of the Thermally Thick Alternative Reducing Agent Behavior in the Raceway Zone
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Citation: 
Kiss, M., Bösenhofer, M., Hauzenberger, F., Stocker, H., Feilmayr, C., & Harasek, M. (2023). Investigation of the Thermally Thick Alternative Reducing Agent Behavior in the Raceway Zone. In AISTech 2023 — Proceedings of the Iron & Steel Technology Conference (pp. 381–391). Association for Iron & Steel Technology. https://doi.org/10.33313/387/042
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Publisher DOI: 
10.33313/387/042
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Kiss, Matthias 
Bösenhofer, Markus 
Hauzenberger, Franz 
Stocker, Hugo 
Feilmayr, Christoph 
Harasek, Michael 
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Organisational Unit: 
E166-02-2 - Forschungsgruppe Fluiddynamische Simulation (CFD) 
E166 - Institut für Verfahrenstechnik, Umwelttechnik und technische Biowissenschaften 
E166-02 - Forschungsbereich Thermische Verfahrenstechnik und Simulation 
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Published in: 
AISTech 2023 — Proceedings of the Iron & Steel Technology Conference 
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Date (published): 
7-May-2023
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Event name: 
AISTech 2023 
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Event date: 
8-May-2023 - 11-May-2023
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Event place: 
Detroit, MI, United States of America (the)
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Number of Pages: 
11
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Publisher: 
Association for Iron & Steel Technology
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Keywords: 
Blast furnace; PCI; CFD; Lagrangian particle model; resolved particle model; OpenFOAM®
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Abstract: 
Alternative reducing agents (ARAs) injected into the raceway zone of the blast furnace have diameters in the range of tens to thousands of micrometers. Larger ARA particles can develop significant internal temperature and species concentration gradients. These gradients determine the thermochemical ARA conversion characteristics. To capture these effects, a resolved Lagrangian particle model was developed, which solves mass and energy transport equations on a 1D grid. The influence of the resolved model on the conversion characteristics in the raceway zone is compared to classical unresolved or 0D Lagrangian models using computational fluid dynamics simulations in OpenFOAM®.
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Research Areas: 
Computational Fluid Dynamics: 50%
Sustainable Production and Technologies: 20%
Efficient Utilisation of Material Resources: 30%
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Science Branch: 
2040 - Chemische Verfahrenstechnik: 60%
2111 - Metallurgie: 20%
2119 - Sonstige Technische Wissenschaften: 20%
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Appears in Collections:
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