OpenFOAM based LES of slot jet impingement heat transfer at low nozzle to plate spacing using four SGS models

Shukla, Anuj; Dewan, Anupam

doi:10.1007/s00231-018-2470-8

Cited by 32 publications

(19 citation statements)

References 37 publications

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“…[17]. The authors found that the κ − ε model fails to recover the oscillating behavior observed experimentally inside the SEN. Based on the previous analysis and the results presented in Shukla & Dewan [31], the transient numerical simulations presented in this work were carried out with the LES turbulence model, including the dynamicÎ o -equation SGS model as scale filtering.…”

Section: Numerical Analysis Using Cfdmentioning

confidence: 99%

Visualization and measurement of turbulent flow inside a SEN and off the ports

et al. 2021

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This work describes a visualization technique that allows to register and analyze flow inside a Submerged Entry Nozzle (SEN) model. The internal flow has a swirling pattern that produces characteristic flow conditions that can be used in efficiently supplying liquid steel from the tundish to the mold in the continuous casting process. The visualization method is a first step in analyzing the characteristics of the internal flow and hence in designing new SENs. A LED light source is employed to illuminate the SEN which reduces the reflections in the images. To enhance visualizations and measurements, a transparent cell consisting of a cubic volume with reduced dimensions was used to capture images from the high-speed camera and to record the flow pattern within the SEN. The SEN model consists of a vertical, constant diameter tube with two rounded exit ports located at the bottom with a downward angle of 15° each. The working fluid is water and reaches Re=10,000 within the cell. We also use the laser illuminated Particle Imaging Velocimetry (PIV) to calculate the velocity of fluid within the SEN and close to the exit ports. We confirm previously reported formation of three vortexes that interact with each other altering the swirl motion of the exit flow. Experimental results were compared with numerical simulations. The comparisons contribute to the validation of findings of Computational Fluid Dynamics (CFD) and Smoothed-Particle Hydrodynamics (SPH) results. Qualitative and quantitative similarities were found. Both physical and numerical results display a high turbulent flow behavior at the lower zone of the SEN. Experimental and numerical methods may be used together as a development method to measure and evaluate the characteristics of the flow behavior inside and outside the SEN model in order to design a better SEN to increase the quality of the steel slab.

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Section: Numerical Analysis Using Cfdmentioning

confidence: 99%

Visualization and measurement of turbulent flow inside a SEN and off the ports

et al. 2021

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“…e studied process is isothermal, and all temperature-dependent physical properties remain constant. Recently, Shukla and Dewan (2018) [13] presented a comparison of the prediction capabilities of four different subgrid stress (SGS) models for simulating the heat transfer in a slot jet impingement system with the Reynolds number of 20,000. e models analyzed in their work were Smagorinsky, WALE (wall-adapting local eddy-viscosity), k-equation, and dynamic k-equation. e authors of that work found that the velocity and turbulence profiles using the four LES models followed the trends of the experimental results.…”

Section: Governing Equations and Turbulence Modelmentioning

confidence: 99%

“…In order to numerically reproduce the flow pattern of the SEN, RANS and LES turbulence models were used previously to reproduce the internal flow pattern of the SEN [4,12,13]. In these works, it is possible to observe that RANS models could reproduce the average flow pattern; however, they do not obtain the transient dynamic flow behavior [2, 5-7, 9, 14-19].…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic Analysis of the Flow inside the Submerged Entry Nozzle

Gonzalez-Trejo

Real-Ramirez

Carvajal-Mariscal

et al. 2020

Mathematical Problems in Engineering

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The quality of steel produced by continuous casting depends mainly on the characteristics of the liquid steel flow pattern within the mold. This pattern depends on the flow dynamics of the nozzle that is immersed in liquid steel. This work characterizes the fluid dynamics within two separate submerged entry nozzle models with a square cross section bore. The Froude similarity criterion and water as working fluid have been used. The models consist of a square-shaped tube with one inlet and two lateral squared exits at the bottom. To enhance the flow visualization, the models do not have exit ports. Moreover, one of the models has a “pool,” a volume at the bottom, and the other prescinds of it. The geometrical parameters and operational conditions of physical experiments were reproduced in the numerical simulations. The turbulence model used in this work is large eddy simulation (LES) with dynamic k-equation filtering. It was found that transient numerical simulations reproduce the dynamic nature of the internal flow pattern seen in physical experiments. The results show that the flow pattern within the pool nozzle is defined by only one large vortex; on the other hand, in the nozzle, without the pool, the flow pattern achieves a complex behavior characterized by two small vortexes. This study will allow to build nozzles that produce a symmetric, regular fluid flow pattern inside the mold, which leads to improvements on the process such as low energy consumption and finally in cost reductions.

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“…The WALE model is developed by Nicoud and Ducros [29]. It works particularly well at near-wall conditions and at the transitional flow from laminar to turbulent [30]. Turbulence viscosity in WALE SGS is determined by Eq.…”

Section: Turbulence Sgsmentioning

confidence: 99%

Evaluation of LES sub-grid scale models and time discretization schemes for prediction of convection effect in a buoyant pool fire

2020

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The identification of the type of regime has an essential effect on the selection of sub-grid scale and discretization methods, regarding the accuracy and computational time. In order to investigate the role of sub-grid scale and time discretization method in a pool fire modeling by the Large Eddy Simulation (LES), three sub-grid scales Smagorinsky, one-equation and Wall-Adapting Local Eddy-Viscosity (WALE) and three time discretization methods of first-order Euler method, second-order Crank Nicolson and backward second-order were investigated. The results indicate that WALE and one-equation sub-grid scale have an acceptable prediction, while Smagorinsky has a significant error with the experimental results. Different time discretization methods have little effects on the results of mean velocity and mean turbulent parameters of the pool fire. By considering the instantaneous distribution of parameters, all three methods perform similar results where the kinetic energy is less than 5 m 2 /s 2 . In areas where the perturbation is aggravated, the two second-order discretization methods have the same error with a little difference by the first-order Euler method. The accuracies of second-order methods are about 10% for the velocity prediction, compared to the experimental results, while the error of the Euler method is 15%.

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OpenFOAM based LES of slot jet impingement heat transfer at low nozzle to plate spacing using four SGS models

Cited by 32 publications

References 37 publications

Visualization and measurement of turbulent flow inside a SEN and off the ports

Visualization and measurement of turbulent flow inside a SEN and off the ports

Hydrodynamic Analysis of the Flow inside the Submerged Entry Nozzle

Evaluation of LES sub-grid scale models and time discretization schemes for prediction of convection effect in a buoyant pool fire

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