Assessment of URANS-Type Turbulent Flow Modelling of a Single Port Submerged Entry Nozzle (SEN) for Thin Slab Continuous Casting (TSC) Process
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In: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science, Vol. 2024, 2024.
Research output: Contribution to journal › Article › Research › peer-review
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TY - JOUR
T1 - Assessment of URANS-Type Turbulent Flow Modelling of a Single Port Submerged Entry Nozzle (SEN) for Thin Slab Continuous Casting (TSC) Process
AU - Vakhrushev, Alexander
AU - Karimi Sibaki, Ebrahim
AU - Wu, Menghuai
AU - Ludwig, Andreas
AU - Nitzl, Gerald
AU - Tang, Yong
AU - Hackl, Gernot
AU - Watzinger, Josef
AU - Bohacek, Jan
AU - Kharicha, Abdellah
N1 - On behalf of all authors, the corresponding author states that there is no conflict of interest. The Author(s) 2024
PY - 2024
Y1 - 2024
N2 - The numerical methods based on the unsteady Reynolds-averaged Navier–Stokes (URANS)equations are robust tools to model the turbulent flow for the industrial processes. They allowan acceptable grid resolution along with reasonable calculation time. Herein, the URANSapproach is validated against a water model experiment for the special single port submergedentry nozzle (SEN) design used in the thin slab casting (TSC) process. A 1-to-2 under-scaledwater model was constructed, including the SEN, mold, and strand Plexiglas segments.Paddle-type sensors were instrumented to measure the submeniscus velocity supported byvideorecording of the dye injections to provide both qualitative and quantitative verification ofthe SEN flow simulations. Two advanced URANS-type models (realizable k–e and shear stresstransport k–x) were applied to calculate velocity pattern on meshes with various resolutions. Anoscillating single jet flow was detected in the experiment, which the URANS simulations initiallystruggled to reflect. The dimensionless analysis of the mesh properties and correspondingadjustment of the boundary layers inside the SEN allowed to resolve the flow pattern. Theperformed fast Fourier transform (FFT) verified a good numerical prediction of the flowfrequency spectrum. The corresponding simulation strategy is proposed for the industrial CCprocess using the URANS approach.
AB - The numerical methods based on the unsteady Reynolds-averaged Navier–Stokes (URANS)equations are robust tools to model the turbulent flow for the industrial processes. They allowan acceptable grid resolution along with reasonable calculation time. Herein, the URANSapproach is validated against a water model experiment for the special single port submergedentry nozzle (SEN) design used in the thin slab casting (TSC) process. A 1-to-2 under-scaledwater model was constructed, including the SEN, mold, and strand Plexiglas segments.Paddle-type sensors were instrumented to measure the submeniscus velocity supported byvideorecording of the dye injections to provide both qualitative and quantitative verification ofthe SEN flow simulations. Two advanced URANS-type models (realizable k–e and shear stresstransport k–x) were applied to calculate velocity pattern on meshes with various resolutions. Anoscillating single jet flow was detected in the experiment, which the URANS simulations initiallystruggled to reflect. The dimensionless analysis of the mesh properties and correspondingadjustment of the boundary layers inside the SEN allowed to resolve the flow pattern. Theperformed fast Fourier transform (FFT) verified a good numerical prediction of the flowfrequency spectrum. The corresponding simulation strategy is proposed for the industrial CCprocess using the URANS approach.
KW - URANS
KW - urbulent Flow Modeling
KW - Single Port Submerged Entry Nozzle
KW - SEN
KW - Thin Slab Continuous Casting
KW - TSC
M3 - Article
VL - 2024
JO - Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science
JF - Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science
SN - 1073-5615
ER -