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Multiscale Simulation of Non-Metallic Inclusion Aggregation in a Fully Resolved Bubble Swarm in Liquid Steel

Authors :
Jochen Fröhlich
Bernhard Ott
Jean-Pierre Bellot
Matthieu Gisselbrecht
Jean-Sébastien Kroll-Rabotin
Ronja May
Institut Jean Lamour (IJL)
Université de Lorraine (UL)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)
Technische Universität Dresden = Dresden University of Technology (TU Dresden)
Source :
Metals, Volume 10, Issue 4, Metals, MDPI, 2020, 10 (4), pp.517. ⟨10.3390/met10040517⟩, Metals, Vol 10, Iss 517, p 517 (2020)
Publication Year :
2020
Publisher :
Multidisciplinary Digital Publishing Institute, 2020.

Abstract

International audience; Removing inclusions from the melt is an important task in metallurgy with critical impact on the quality of the final alloy. Processes employed with this purpose, such as flotation, crucially depend on the particle size. For small inclusions, the aggregation kinetics constitute the bottleneck and, hence, determine the efficiency of the entire process. If particles smaller than all flow scales are considered, the flow can locally be replaced by a plane shear flow. In this contribution, particle interactions in plane shear flow are investigated, computing the fully resolved hydrodynamics at finite Reynolds numbers, using a lattice Boltzmann method with an immersed boundary method. Investigations with various initial conditions, several shear values and several inclusion sizes are conducted to determine collision efficiencies. It is observed that although finite Reynolds hydrodynamics play a significant role in particle collision, statistical collision efficiency barely depends on the Reynolds number. Indeed, the particle size ratio is found to be the prevalent parameter. In a second step, modeled collision dynamics are applied to particles tracked in a fully resolved bubbly flow, and collision frequencies at larger flow scale are derived.

Details

Language :
English
ISSN :
20754701
Database :
OpenAIRE
Journal :
Metals
Accession number :
edsair.doi.dedup.....c9835c6c1137296fdcc39ce4542f966c
Full Text :
https://doi.org/10.3390/met10040517