<div class="csl-bib-body">
<div class="csl-entry">Bösenhofer, M., Hauzenberger, F., Stocker, H., Feilmayr, C., & Harasek, M. (2023). An Eulerian-Based Reduction Model for Iron Ore Particle Reduction. In <i>AISTech2023 Proceedings of the Iron & Steel Technology Conference</i> (pp. 358–365). Association for Iron and Steel Technology (AIST). https://doi.org/10.33313/387/039</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/188891
-
dc.description.abstract
Reasonable iron ore reduction and melting prediction are critical issues for blast furnace modeling. The particle number required for full-scale blast furnace simulations exceeds the current capabilities of discrete element method (DEM) approaches. Continuum or Euler-based approaches can handle industry-scale equipment at reduced accuracy. This work explores the capabilities of a novel Eulerian-based reduction model based on a multi-fluid simulation framework. The reduction model uses a layer-like approach based on the representative particle assumption, and its performance is validated and evaluated against lab-scale experimental data.
en
dc.language.iso
en
-
dc.subject
CFD
en
dc.subject
iron ore reduction
en
dc.subject
representative particle model (RPM)
en
dc.subject
full-scale blast furnace model
en
dc.title
An Eulerian-Based Reduction Model for Iron Ore Particle Reduction
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Primetals Technologies Austria GmbH
-
dc.contributor.affiliation
Voestalpine (Austria), Austria
-
dc.contributor.affiliation
Voestalpine (Austria), Austria
-
dc.relation.isbn
9780930767204
-
dc.description.startpage
358
-
dc.description.endpage
365
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
AISTech2023 Proceedings of the Iron & Steel Technology Conference
