Affiliation:
1. Faculté des Sciences, de la Technologie et Médicine University of Luxembourg Campus Kirchberg 6, rue Coudenhove‐Kalergi Kirchberg L-1359 Luxembourg
Abstract
The current research addresses a unified and integrated Euler–Lagrange simulation platform based on the extended discrete element method that advances significantly the digital twin technology applied to blast furnaces. It includes a particulate phase characterized by its dynamic and thermodynamic state that is coupled to multiphase computational fluid dynamics (CFD) by heat, mass, and momentum transfer. Thus, the framework deals with transient and reacting 3D granular and multiphase flows. The latter includes all relevant processes taking place in a blast furnace: formation of a reducing agent, e.g., carbon monoxide, reduction of iron‐bearing material, and softening and melting with the subsequent transfer into the corresponding phase of the multiphase CFD solver and thus, identifying unambiguously the cohesive zone. Validation is carried out on different length scales from a particle level to the global dimensions of a blast furnace and shows a good agreement between predictions and experimental data. Applying fast and innovative algorithms allows for moderate computational times, i.e., 1000 s real‐time takes ≈2.3 d on an Intel(R) Xenon(R) Silver 4114 CPU @ 2.2 GHz processor with 40 cores and the entire domain divides into eight partitions.
Subject
Materials Chemistry,Metals and Alloys,Physical and Theoretical Chemistry,Condensed Matter Physics
Cited by
1 articles.
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