2008
DOI: 10.1063/1.2990758
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Detailed characteristics of drop-laden mixing layers: Large eddy simulation predictions compared to direct numerical simulation

Abstract: Results are compared from direct numerical simulation ͑DNS͒ and large eddy simulation ͑LES͒ of a temporal mixing layer laden with evaporating drops to assess the ability of LES to reproduce detailed characteristics of DNS. The LES used computational drops, each of which represented eight physical drops, and a reduced flow field resolution using a grid spacing four times larger than that of the DNS. The LES also used models for the filtered source terms, which express the coupling of the drops with the flow, an… Show more

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Cited by 13 publications
(4 citation statements)
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References 36 publications
(48 reference statements)
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“…Most simulations of engines with sprays have used existing RANS spray models with simple modifications for use with LES turbulence models. In a series of papers, Bellan et al have carried out extensive work exploring particle-based spray models for both DNS and LES simulations [135][136][137][138][139]. This is more fundamental work, but the target applications are those that use the Lagrangian parcel approach.…”
Section: Fuel-spray Modellingmentioning
confidence: 99%
See 1 more Smart Citation
“…Most simulations of engines with sprays have used existing RANS spray models with simple modifications for use with LES turbulence models. In a series of papers, Bellan et al have carried out extensive work exploring particle-based spray models for both DNS and LES simulations [135][136][137][138][139]. This is more fundamental work, but the target applications are those that use the Lagrangian parcel approach.…”
Section: Fuel-spray Modellingmentioning
confidence: 99%
“…In a series of papers, Bellan et al . have carried out extensive work exploring particle-based spray models for both DNS and LES simulations [135139]. This is more fundamental work, but the target applications are those that use the Lagrangian parcel approach.…”
Section: Les Models In Ic Enginesmentioning
confidence: 99%
“…It will also be necessary to ultimately introduce more-accurate individual rate laws (e.g., for aggregate coagulation; see e.g., ref ) and address multivariate populations. However, the further development/exercise of this type of simulation tool, especially when compared with the results of corresponding physicochemical experiments, should prove useful to guide future modeling effortsincluding the development and testing of generalized turbulence models to enable the “time” variable to be suppressed for “(quasi)-steady-state” turbulent flowseither fully (as for Reynolds-time-averaged Navier−Stokes (RANS) simulations) or partially (as in more demanding “large-eddy” simulations (LES) (see, e.g., the recent work of Moin and Apte and Menon and Patel, and the recent fundamental studies of Okong’o et al).…”
Section: Toward More Comprehensive Pbe-based Modelsmentioning
confidence: 99%
“…In the vast majority of SGS models, the local structure of turbulence is assumed to be homogeneous, i.e. the gradients of the fluid flow variables in the vicinity of the droplet are estimated from filtered fields and not from their increments in the smallest turbulent motions on residual scales (Leboissetier, Okong'o & Bellan 2005;Pera et al 2006;Okong'o, Leboissetier & Bellan 2008;Apte, Mahesh & Moin 2009;Senoner et al 2009;Irannejad & Jaberi 2014;Tsang, Trujillo & Rutland 2014). This raises questions on how to account for SGS gradients in the fluid on the dynamics of evaporating droplets.…”
Section: Introductionmentioning
confidence: 99%