Scalar-Filtered Mass-Density-Function Simulation of Swirling Reacting Flows on Unstructured Grids

Ansari, Naseem; Pisciuneri, Patrick; Strakey, Peter; Givi, Peyman

doi:10.2514/1.j051671

Cited by 29 publications

(11 citation statements)

References 44 publications

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“…An effective strategy for modeling of SGS effects is the filtered density function (FDF) methodology [48,49]. This methodology has been the subject of extensive previous contributions [50][51][52][53][54][55][56][57][58][59][60][61][62]. In recent works [63,64], a methodology based on filtered density function (FDF), termed the entropy FDF (En-FDF), has been introduced, which allows LES prediction of entropy transport and generation in turbulent reacting flows.…”

Section: Introductionmentioning

confidence: 99%

Progress in the Prediction of Entropy Generation in Turbulent Reacting Flows Using Large Eddy Simulation

Safari

Hadi

Sheikhi

2014

Entropy

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An overview is presented of the recent developments in the application of large eddy simulation (LES) for prediction and analysis of local entropy generation in turbulent reacting flows. A challenging issue in such LES is subgrid-scale (SGS) modeling of filtered entropy generation terms. An effective closure strategy, recently developed, is based on the filtered density function (FDF) methodology with inclusion of entropy variations. This methodology, titled entropy FDF (En-FDF), is the main focus of this article. The En-FDF has been introduced as the joint velocity-scalar-turbulent frequency-entropy FDF and the marginal scalar-entropy FDF. Both formulations contain the chemical reaction and its entropy generation effects in closed forms. The former constitutes the most comprehensive form of the En-FDF and provides closure for all of the unclosed terms in LES transport equations. The latter is the marginal En-FDF and accounts for entropy generation effects, as well as scalar-entropy statistics. The En-FDF methodologies are described, and some of their recent predictions of entropy statistics and entropy generation in turbulent shear flows are presented.

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Section: Introductionmentioning

confidence: 99%

Progress in the Prediction of Entropy Generation in Turbulent Reacting Flows Using Large Eddy Simulation

Safari

Hadi

Sheikhi

2014

Entropy

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“…LES of a swirl-stabilized kerosene spray flame has been performed by Georg et al [4] to study the performance of combustors. The non-premixed swirl-stabilized flames have been extensively studied using LES with advanced combustion models [5][6][7][8]. It may be observed in the literature that LES with conditional moment closure (CMC) model has capabilities to handle complex processes in the strong swirling flames [5,8].…”

Section: Extended Abstractmentioning

confidence: 99%

LES-CMC Simulations of Strong Swirling Confined Flames in a Model Gas Turbine Combustor

Gaikwad¹,

Sreedhara²

2020

World Congress on Momentum, Heat and Mass Transfer

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“…Since the pioneering work of Pope [1,2], Lagrangian transported PDF (probability density function) or MDF (the MDF is a density weighted PDF) simulations are in use for more than three decades now. While in the beginning hybrid RANS/PDF simulations have been performed [3,4,5,6,7], the present trend is towards more complex and still more demanding LES (large-eddy simulation)/FMDF (filtered MDF) couplings [8,9,10,11]. Despite the large number of papers published on MDF methods, the greatest part of them investigate academic laboratory flames and/or simple geometric configurations only.…”

Section: Introductionmentioning

confidence: 99%

Lagrangian transported MDF methods for compressible high speed flows

Gerlinger

2017

Journal of Computational Physics

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This paper deals with the application of thermochemical Lagrangian MDF (mass density function) methods for compressible sub-and supersonic RANS (Reynolds Averaged Navier-Stokes) simulations. A new approach to treat molecular transport is presented. This technique on the one hand ensures numerical stability of the particle solver in laminar regions of the flow field (e.g. in the viscous sublayer) and on the other hand takes differential diffusion into account.It is shown in a detailed analysis, that the new method correctly predicts first and second-order moments on the basis of conventional modeling approaches.Moreover, a number of challenges for MDF particle methods in high speed flows is discussed, e.g. high cell aspect ratio grids close to solid walls, wall heat transfer, shock resolution, and problems from statistical noise which may cause artificial shock systems in supersonic flows. A Mach 2 supersonic mixing channel with multiple shock reflection and a model rocket combustor simulation demonstrate the eligibility of this technique to practical applications. Both test cases are simulated successfully for the first time with a hybrid finite-volume (FV)/Lagrangian particle solver (PS).

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Scalar-Filtered Mass-Density-Function Simulation of Swirling Reacting Flows on Unstructured Grids

Cited by 29 publications

References 44 publications

Progress in the Prediction of Entropy Generation in Turbulent Reacting Flows Using Large Eddy Simulation

Progress in the Prediction of Entropy Generation in Turbulent Reacting Flows Using Large Eddy Simulation

LES-CMC Simulations of Strong Swirling Confined Flames in a Model Gas Turbine Combustor

Lagrangian transported MDF methods for compressible high speed flows

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