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Numerical Modeling of Flow Conditions during Steel Filtration Experiments
Author(s) -
Asad Amjad,
Werzner Eric,
Demuth Cornelius,
Dudczig Steffen,
Schmidt Anne,
Ray Subhashis,
Aneziris Christos G.,
Schwarze Rüdiger
Publication year - 2017
Publication title -
advanced engineering materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 114
eISSN - 1527-2648
pISSN - 1438-1656
DOI - 10.1002/adem.201700085
Subject(s) - crucible (geodemography) , filtration (mathematics) , materials science , filter (signal processing) , ceramic , flow (mathematics) , computer simulation , casting , mechanics , scale (ratio) , mechanical engineering , composite material , engineering , physics , mathematics , electrical engineering , statistics , chemistry , computational chemistry , quantum mechanics
In the present article, the performance and the efficiency of ceramic filters for continuous steel filtration in an induction crucible furnace, which is part of the steel casting simulator facility located at Technische Universität Bergakademie Freiberg, is investigated numerically. In order to achieve this objective, a macro‐scale simulation for the melt flow in the crucible is coupled with a pore‐scale simulation for the flow inside the ceramic filter that is adequately resolved by its detailed filter geometry, obtained from computed tomography scan images. The considerable influence of the filter on the flow field is indicated from the present results. Moreover, the efficiency of the employed filter is also determined and compared for two pore densities.