Record link: 
http://hdl.handle.net/20.500.12708/199115
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Title: 
Simulation-Aided Evaluation of Alternative Reducing Agent Conversion Experiments
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Citation: 
Bösenhofer, M., Nanz, T., Kiss, M., Gruber, C., Rieger, J., Stocker, H., Feilmayr, C., & Harasek, M. (2024). Simulation-Aided Evaluation of Alternative Reducing Agent Conversion Experiments. In AISTech 2024 - Proceedings of the Iron & Steel Technology Conference (pp. 1838–1848). https://doi.org/10.33313/388/193
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Publisher DOI: 
10.33313/388/193
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Bösenhofer, M. 
Nanz, Thomas 
Kiss, Matthias 
Gruber, Christine 
Rieger, Johannes 
Stocker, Hugo 
Feilmayr, Christoph 
Harasek, Michael 
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Organisational Unit: 
E166-02-2 - Forschungsgruppe Fluiddynamische Simulation (CFD) 
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Published in: 
AISTech 2024 - Proceedings of the Iron & Steel Technology Conference 
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ISBN: 
978-0-930767-26-6
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Volume: 
2024-May
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Date (published): 
8-May-2024
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Event name: 
Iron & Steel Technology Conference (AISTech 2024) 
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Event date: 
5-May-2024 - 9-May-2024
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Event place: 
Columbus, Ohio, United States of America (the)
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Number of Pages: 
11
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Keywords: 
1D particle model; alternative reducing agents (ARAs); computational fluid dynamics (CFD); detailed particle modeling; ironmaking; OpenFOAM; thermochemical solid conversion
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Abstract: 
The thermochemical conversion of alternative reducing agents (ARAs), such as pulverized coal, in the blast furnace raceway zone is a complex and hard to examine process due to the harsh conditions. Real-world experiments provide non-ideal conversion conditions, e.g., inhomogeneous temperature and velocity and concentration fields. Ignoring these inhomogeneities falsifies the experimental results and can give misleading information. A digital model of an ARA test reactor is created to validate the operation conditions and evaluate potential inhomogeneities. Furthermore, the digital model will be used to reproduce experiments and perform detailed investigations of the particle states during conversion to identify bottlenecks during the ARA conversion.
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Research Areas: 
Computational Fluid Dynamics: 50%
Sustainable Production and Technologies: 40%
Modeling and Simulation: 10%
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Science Branch: 
2040 - Chemische Verfahrenstechnik: 50%
2111 - Metallurgie: 20%
2119 - Sonstige Technische Wissenschaften: 30%
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Appears in Collections:
Conference Paper

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