A variant of the low-Reynolds-number two-equation turbulence model applied to variable property mixed convection flows

Cotton, Mark; Kirwin, P J

doi:10.1016/0142-727x(95)00040-w

Cited by 21 publications

(8 citation statements)

References 12 publications

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“…We aim to cover a spectrum of such models but with main emphasis on those which were targeted at improving mixed convection heat transfer. With this in mind we have selected some 'classical' k-e models: Launder-Sharma (LS) [13], Lam-Bremhorst (LB) [21], Chien (CH) [16], a k-x model, Wilcox (WI) [22] and some more recent models: Myoung-Kasagi (MK) [23], YangShih (YS) [24], Abe-Kondoh-Nagano (AKN) [25], Cotton-Kirwin (CK) [26], and Hwang-Lin (HL) [27]. The k-e-v 2 -f model of Durbin (V2F) [28] has also been included since, in some recent studies of variable property heat transfer [29,30], this model has been found to perform better than many k-e models.…”

Section: Methodsmentioning

confidence: 99%

“…Nevertheless, it is interesting to note that although many newer models have been developed, often based on information available from DNS studies, few of them perform as well as the LS model does. In fact, recently Cotton and Kirwin [26] made a specific effort to improve the performance of the LS model for conditions of mixed convection but concluded that little was able to be achieved. In the present tests, this revised LS model (CK) clearly performs well for conditions of forced convection (see Fig.…”

Section: Modelmentioning

confidence: 98%

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Assessment by comparison with DNS data of turbulence models used in simulations of mixed convection

Kim

Jackson

2008

International Journal of Heat and Mass Transfer

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Section: Methodsmentioning

confidence: 99%

Section: Modelmentioning

confidence: 98%

Assessment by comparison with DNS data of turbulence models used in simulations of mixed convection

Kim

Jackson

2008

International Journal of Heat and Mass Transfer

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“…The first 'low-Reynolds-number' ε − k turbulence model was proposed by Jones and Launder [1972]; here a re-optimization of that scheme due to Launder and Sharma [1974] is adopted as a benchmark against which more recent strategies are assessed. Despite the early appearance of the LS closure, it remains one of the more conceptually advanced, and accurate, of a large group of two-equation model variants (Patel et al, 1985;Cotton and Kirwin, 1995).…”

Section: 31) the Launder And Sharma Model -'Ls Model'mentioning

confidence: 99%

Refined Eddy Viscosity Schemes and Large Eddy Simulations for Ascending Mixed Convection Flows

Keshmiri

Addad

Cotton

et al. 2008

International Symposium on Advances in Computational Heat Transfer

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The present work is concerned with the modelling of ascending turbulent ('mixed convection') flow in a vertical heated pipe. All fluid properties are assumed to be constant and buoyancy is accounted for within the Boussinesq approximation. Four Eddy Viscosity Models (EVMs) are examined against experimental and numerical (direct simulation) data. The EVMs embody distinct physical refinements with respect to the parent high-Reynolds-number k-ε model. New Large Eddy Simulations (LES) are also presented. Three different CFD codes have been employed in the study: 'CONVERT', 'Code_Saturne', and 'STAR-CD', which are respectively inhouse, industrial, and commercial packages. In general, forced convection flows are best resolved by the LES computations and Cotton-Ismael turbulence model (Cotton and Ismael [1998]). In mixed convection flows the picture changes and the Launder-Sharma closure [Launder and Sharma, 1974] and 'Manchester f v 2 − ' model [Keshmiri et al., 2008] are in closest agreement with the direct simulation heat transfer data. Under conditions of maximum heat transfer impairment, the mean flow and turbulence profiles are best captured by the Large Eddy Simulations and LS and f v 2 − models. However, no single scheme could be said to be in excellent agreement with the data examined.

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“…Once again, the predictions of the Suga model for forced convection and early-onset mixed convection (i.e., cases A and B) are significantly better than with LS. Indeed, the underprediction of peak TKE by the LS model is well known and has been reported by a number of other researchers including Patel et al [28] and Cotton and Kirwin [29]. Nevertheless, the re-laminarizing effect of buoyancy on turbulence is at least qualitatively captured by the LS model (Case C), as is the recovery of k for Case (D).…”

Section: Turbulence Quantitiesmentioning

confidence: 88%

Assessment of a common nonlinear eddy-viscosity turbulence model in capturing laminarization in mixed convection flows

Keshmiri

Revell

Darabkhani

2015

Numerical Heat Transfer, Part A: Applications

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Laminarization is an important topic in heat transfer and turbulence modeling. Recent studies have demonstrated that several well-known turbulence models failed to provide accurate prediction when applied to mixed convection flows with significant re-laminarization effects. One of those models, a well-validated cubic nonlinear eddy-viscosity model, was observed to miss this feature entirely. This paper studies the reasons behind this failure by providing a detailed comparison with the baseline Launder-Sharma model. The difference is attributed to the method of near-wall damping. A range of tests have been conducted and two noteworthy findings are reported for the case of flow re-laminarization. ARTICLE HISTORY

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A variant of the low-Reynolds-number two-equation turbulence model applied to variable property mixed convection flows

Cited by 21 publications

References 12 publications

Assessment by comparison with DNS data of turbulence models used in simulations of mixed convection

Assessment by comparison with DNS data of turbulence models used in simulations of mixed convection

Refined Eddy Viscosity Schemes and Large Eddy Simulations for Ascending Mixed Convection Flows

Assessment of a common nonlinear eddy-viscosity turbulence model in capturing laminarization in mixed convection flows

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