Investigation of Molten Liquids Flow in the Blast Furnace Lower Zone: Numerical Modelling of Molten Slag Through Channels in a Packed Bed

Dong, Xue Feng; Jayasekara, Apsara S.; Sert, D.; Ferreira, Rui B.; Gardin, Pascal; Monaghan, Brian J; Chew, Sheng; Pinson, David; Zulli, Paul

doi:10.1007/s11663-020-02009-1

Cited by 8 publications

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In cases where interactions within the solid phase are important, such as for packed beds and granular mixing, the Lagrangian representation is preferred for the solid phase because it can provide a more accurate representation on the particle collisions as well as the particle size distribution. In such cases, the Volume of Fluid (VOF) method is commonly adopted to model the two-phase (fluid-solid) flows with a Lagrangian solid phase and an Eulerian composite fluid (gas and liquid) phase for the analysis [23,24].…”

Section: Motivationmentioning

confidence: 99%

Multiphase CFD-DEM model for gasification and melting applications

Soon¹

View full text Add to dashboard Cite

show abstract

Section: Motivationmentioning

confidence: 99%

Multiphase CFD-DEM model for gasification and melting applications

Soon¹

View full text Add to dashboard Cite

show abstract

The First Unified and Transient Modeling Platform to Build a Digital Twin of Blast Furnaces Based on the Extended Discrete Element Method

Peters

2023

steel research int.

View full text Add to dashboard Cite

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.

show abstract