Assessment of URANS-Type Turbulent Flow Modeling of a Single Port Submerged Entry Nozzle (SEN) for Thin Slab Continuous Casting (TSC) Process

被引:4
作者
Vakhrushev, Alexander [1 ]
Karimi-Sibaki, Ebrahim [1 ]
Wu, Menghuai [2 ]
Ludwig, Andreas [2 ]
Nitzl, Gerald [3 ]
Tang, Yong [4 ]
Hackl, Gernot [4 ]
Watzinger, Josef [5 ]
Bohacek, Jan [6 ]
Kharicha, Abdellah [1 ]
机构
[1] Montantuniv Leoben, Christian Doppler Lab Met Applicat Magnetohydrodyn, Franz Josef Str 18, A-8700 Leoben, Austria
[2] Univ Leoben, Chair Simulat & Modeling Met Proc, Franz Josef Str 18, A-8700 Leoben, Austria
[3] RHI Magnesita GmbH, Kranichberggasse 6, A-1120 Vienna, Austria
[4] RHI Magnesita Technol Ctr, Magnesitstr 2, A-8700 Leoben, Austria
[5] Primetals Technol Austria GmbH, Turmstr 44, A-4031 Linz, Austria
[6] Brno Univ Technol, Heat Transfer & Fluid Flow Lab, Brno 61669, Czech Republic
来源
METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE | 2024年 / 55卷 / 02期
关键词
FLUID-FLOW; MOLD; SIMULATION; REGION; EMBR;
D O I
10.1007/s11663-024-03002-8
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 allow an acceptable grid resolution along with reasonable calculation time. Herein, the URANS approach is validated against a water model experiment for the special single port submerged entry nozzle (SEN) design used in the thin slab casting (TSC) process. A 1-to-2 under-scaled water model was constructed, including the SEN, mold, and strand Plexiglas segments. Paddle-type sensors were instrumented to measure the submeniscus velocity supported by videorecording of the dye injections to provide both qualitative and quantitative verification of the SEN flow simulations. Two advanced URANS-type models (realizable k-epsilon and shear stress transport k-omega) were applied to calculate velocity pattern on meshes with various resolutions. An oscillating single jet flow was detected in the experiment, which the URANS simulations initially struggled to reflect. The dimensionless analysis of the mesh properties and corresponding adjustment of the boundary layers inside the SEN allowed to resolve the flow pattern. The performed fast Fourier transform (FFT) verified a good numerical prediction of the flow frequency spectrum. The corresponding simulation strategy is proposed for the industrial CC process using the URANS approach.
引用
收藏
页码:891 / 904
页数:14
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