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

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作者
Alexander Vakhrushev
Ebrahim Karimi-Sibaki
Menghuai Wu
Andreas Ludwig
Gerald Nitzl
Yong Tang
Gernot Hackl
Josef Watzinger
Jan Bohacek
Abdellah Kharicha
机构
[1] Montantuniversität Leoben,Christian
[2] Montanunivesität Leoben,Doppler Laboratory for Metallurgical Applications of Magnetohydrodynamics
[3] RHI Magnesita GmbH,Chair of Simulation and Modeling of Metallurgical Processes
[4] RHI Magnesita Technology Center,Heat Transfer and Fluid Flow Laboratory
[5] Primetals Technologies Austria GmbH,undefined
[6] Brno University of Technology,undefined
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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–ε and shear stress transport k–ω) 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.
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页码:891 / 904
页数:13
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