Modeling of confined turbulent fluid-particle flows using Eulerian and Lagrangian schemes

Adeniji-Fashola, A. A.; Chen, C.P.

doi:10.1016/0017-9310(90)90168-t

Cited by 93 publications

(34 citation statements)

References 15 publications

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“…The simplest closure mode1 parallels the eddy diffusion mode1 by applyiiig the gradient diffusion hypothesis, -4deniji-Fashola and Chen (1990).…”

Section: Two-fluid Modelsmentioning

confidence: 99%

A Comparison of Stochastic Separated Flow Models for Particle Dispersion in Turbulent Flows

Hennick¹,

Lightstone²

1999

Energy Fuels

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This manuscript has been reproduoed from the microfilm master. UMI films the text directly from the original or copy submitied. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of cornputer printer.The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, pnnt bleedthrough, substandard margins, and improper alignment can adversely affect reproduction.In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion.Oversize materials (e-g., maps, drawings, &arts) are reproduced by sectioning the original, beginning at the upper lefi-hand corner and continuing from left to right in equal sections with small overlaps. Each original is also photographed in one exposure and is included in reduced fom at the back of the book.Photographs included in the original manuscript have been reproduced xerographically in this copy. Higher quality 6 x 9" black and white photographic prints are available for any photographs or illustrations appearing in this wpy for an additional charge. Contact UMI directly to order. This thesis investigates Stochastic Separated Flow (SSF) models for particle dispersioii iu turbulent flows. A new model is presented that incorporates a temporal and a spatial autocorrelation in the description of the fiuctuating component of the turbulent gas-phase velocity. This mode1 and four SSF niodels ai-aiIabIe in the literarure are el-aliiat~cl ailalytically and b -cornparing predictions wit h the grid-generated turbulence esperimenr 3 of Snyder andLumley (1971). andWells andStock (1983). Results are discuîsed aiid deficiencies in the models explored. The nen-model of Hennick and Lightstone conipeiisares for the crossing trajectory effecr xith the inclusion of a spatial correlarioii basecl on the relative velocity of the particle and the timestep employed. Promisirig resuirs arp obtained using this model.

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“…The simplest closure mode1 parallels the eddy diffusion mode1 by applyiiig the gradient diffusion hypothesis, -4deniji-Fashola and Chen (1990).…”

Section: Two-fluid Modelsmentioning

confidence: 99%

A Comparison of Stochastic Separated Flow Models for Particle Dispersion in Turbulent Flows

Hennick¹,

Lightstone²

1999

Energy Fuels

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“…This is because of the predominant drag force in the equation of motion of a particle. It was found that the drag force preponderates over the added mass term owing to the very small particle relaxation time of (13). The effects of the added mass term on the particle number-mean diameter are shown in Figure 8.…”

Section: Resultsmentioning

confidence: 96%

“…This problem is similar to the modelling of particle turbulent viscosity in the twin-fluid modelling of particle-laden turbulent flows [13,21]. Following Rizk and Elghobashi [21], this parameter can be estimated by…”

Section: Stochastic -Probabilistic Particle Dispersion Modelmentioning

confidence: 99%

“…Mostafa et al [12] reported that 100 000 particle trajectories were necessary for computing the monodispersed particle laden jet. Adeniji-Fashola and Chen [13] achieved the smoothest profiles of predictions using a total of 9000 computational particle trajectories for a confined particle-laden jet. Chang and Wu [6] found that a large number (20 000) of droplet trajectories were required to reach an invariant solution for the polydispersed hollow cone spray.…”

Section: Introductionmentioning

confidence: 99%

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Computation of particle dispersion in turbulent liquid flows using an efficient Lagrangian trajectory model

Chen

Pereira

1998

Int. J. Numer. Meth. Fluids

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“…As in the previous problem, the axi-symmetric form of the gas and particulate transport equations are employed. As reported in several studies [72][73][74], the effects of interfacial virtual mass and lift forces are small and may be neglected and the controlling interfacial force is drag (Harlow and Amsden [75]), which is given by:…”

Section: Problem 2:turbulent Air-particle Flow In a Vertical Pipementioning

confidence: 99%

The Geometric Conservation Based Algorithms For Multi-Fluid Flow At All Speeds

Moukalled¹

2002

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)American University of Beirut ME Dept. PO Box: 11-0236 Beirut Lebanon PERFORMING ORGANIZATION REPORT NUMBERN/A SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)EOARD PSC 802 BOX 14 FPO 09499-0014 SPONSOR/MONITOR'S REPORT NUMBER(S)SPC 01-4005 DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution is unlimited. SUPPLEMENTARY NOTES ABSTRACTThis report results from a contract tasking American University of Beirut as follows: The proposed work involves implementing and (thoroughly) testing the Geometric Conservation Based family of Algorithms within a structured finite-volume framework. The convection terms along the control volume faces will be evaluated using a High Resolution scheme applied within the context of the Normalized Variable Formulation methodology. In order to accelerate the convergence rate and reduce the overall computational cost of the algorithm, the outer iterations will be accelerated by using a non-linear full multigrid method. The discretization scheme will be second-order accurate in space and first order accurate in time (even though extension to second order accuracy should be straightforward). The newly implemented algorithms will be tested by solving a variety of two-dimensional multi-fluid flow problems in the subsonic, transonic, and supersonic regimes. Examples include: 1) Phase separation in a duct (water-air); 2) Turbulent bubbly flow in a pipe; 3) Turbulent gas-solid flow in a curved duct; 4) Dusty flow over a flat plate at subsonic flow conditions (~incompressible); 5) Dusty flow in a converging-diverging nozzle, and 6) Any problem of interest to Dr. Sekar (AFRL/PR). A detailed report describing the work will be submitted at end of contract as specified in the schedule of supplies in the submitted proposal. SUBJECT TERMS AbstractThis work is concerned with the implementation and testing, within a structured collocated finite-volume framework, of seven segregated algorithms for the prediction of multi-phase flow at all speeds. These algorithms belong to the Geometric Conservation Based Algorithms

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Modeling of confined turbulent fluid-particle flows using Eulerian and Lagrangian schemes

Cited by 93 publications

References 15 publications

A Comparison of Stochastic Separated Flow Models for Particle Dispersion in Turbulent Flows

A Comparison of Stochastic Separated Flow Models for Particle Dispersion in Turbulent Flows

Computation of particle dispersion in turbulent liquid flows using an efficient Lagrangian trajectory model

The Geometric Conservation Based Algorithms For Multi-Fluid Flow At All Speeds

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