Assessment of RANS and LES turbulence models for natural convection in a differentially heated square cavity

Clifford, Corey E.; Kimber, Mark

doi:10.1080/10407782.2020.1803592

Cited by 12 publications

(3 citation statements)

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“…In addition, the discrepancy of the large eddy simulation is also due to the presumption of a full alignment between components of the turbulent heat flux and mean temperature gradient. Improvement of the Large Eddy Simulation was demonstrated by Clifford and Kimber [7] in the study of Assessment on the model of RANS and LES for convective flow in a square cavity heated from the side, in which the model yielded nearly identical results from both DNS and experiment.…”

Section: Introductionmentioning

confidence: 99%

“…There has been an extensive study on natural convection in cavities for various geometry and a wide range of turbulence levels, namely by Gunarjo [1], Clifford and Kimber [2], Ji [3], and Saury et al, [4]. The authors have applied the Boussinesq approximation as the mathematical basis in developing their models, in which all properties are assumed to be constant while density is treated as a variable of gravity that is linearly proportional to temperature.…”

Section: Introductionmentioning

confidence: 99%

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Extended Eddy-Viscosity Model to Rayleigh-Benard Convection in Cavity

Gunarjo Suryanto Budi,

Sasa Kenjeres

2024

ARFMTS

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This paper presents a study of developing a numerical turbulent model in a cavity heated from below using eddy viscosity combined with elliptic relaxation approach. The model uses a set of differential equations that consist of kinetic energy, its dissipation, variance of temperature, velocity scale and elliptic relaxation parameter, which are solved using a finite-volume and Navier-Stokes solver. The unresolved stress tensors and heat flux vectors are modelled with an algebraic formula. The discretization method is carried out by CDS, or second-order differencing scheme, and LUDS, or second-order linear upwind scheme. The model is applied to the natural convection heated from below, known as Rayleigh-Benard convection, in a two-dimensional cavity with a height-to-length aspect ratio of 1:1.5, 1:4, and 1:8. The model has been validated using numerical data from DNS (direct numerical simulation) and experiments. The model produced similar results with both DNS and experiments. It was also shown that the model can visualize the main feature of turbulent convective flow in the enclosure for various aspect ratio.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extended Eddy-Viscosity Model to Rayleigh-Benard Convection in Cavity

Gunarjo Suryanto Budi,

Sasa Kenjeres

2024

ARFMTS

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“…The main challenge for the Unsteady RANS (URANS) is the simultaneous existence of both laminar and turbulent regions and the underlying transition from laminar to turbulent flow. It is known that eddyviscosity-based turbulence models cannot capture laminar-turbulence transition accurately due to simplistic strain-stress relation (Vieira et al 2012;Ammour et al 2013;Clifford and Kimber 2020). Another disadvantage of the RANS approach is the requirement of complicated stochastic models for particles that are needed to take into account the effect of turbulence.…”

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confidence: 99%

CFD Simulation of Particle-Laden Flow in a 3D Differentially Heated Cavity Using Coarse Large Eddy Simulation

Sayed

Dehbi

Hadžiabić

et al. 2022

Flow Turbulence Combust

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Particulate flow in closed space is involved in many engineering applications. In this paper, the prediction of particle removal is investigated in a thermally driven 3D cavity at turbulent Rayleigh number Ra = 109 using Coarse Large Eddy Simulation (CLES). The depletion dynamics of SiO2 aerosol with aerodynamic diameters between 1.4 and 14 µm is reported in an Euler/Lagrange framework. The main focus of this work is therefore to assess the effect of the subgrid-scale motions on the prediction of the particulate flow in a buoyancy driven 3D cavity flow when the mesh resolution is coarse and below optimal LES standards. The research is motivated by the feasibility of modeling more complex particulate flows with reduced CPU cost.The cubical cavity of 0.7 m side-length is set to have a temperature difference of 39 K between the two facing cold and hot vertical walls. As a first step, the carrier fluid flow was validated by comparing the first and second-moment statistics against both previous well-resolved LES and experimental databases [Kalilainen (J. Aero Sci. 100:73–87, 2016); Dehbi (J. Aero. Sci. 103:67–82, 2017)]. First moment Eulerian statistics show a very good match with the reference data both qualitatively and quantitatively, whereas higher moments show underprediction due to the lesser spatial resolution. In a second step, six particle swarms spanning a wide range of particle Stokes numbers were computed to predict particle depletion. In particular, predictions of 1.4 and 3.5 µm particles were compared to LES and available experimental data. Particles of low inertia i.e. dp < 3.5 µm are more affected by the SGS effects, while bigger ones i.e. dp = 3.5–14 µm exhibit much less grid-dependency. Lagrangian statistics reported in both qualitative and quantitative fashions show globally a very good agreement with reference LES and experimental databases at a fraction of the CPU power needed for optimal LES.

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