Strongly coupled fluid-particle flows in vertical channels. I. Reynolds-averaged two-phase turbulence statistics

Capecelatro, Jesse; Desjardins, Olivier; Fox, Rodney O.

doi:10.1063/1.4943231

Cited by 40 publications

(50 citation statements)

References 34 publications

(86 reference statements)

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“…More generally, the complete model developed in Part I should be tested for inhomogeneous particle-laden flows wherein the spatial transport terms play an important role. For example, the particle-laden channel flow of Capecelatro et al (2016a) would be a challenging test case. In particular, for channel flows the correlated and uncorrelated particle velocity components generate separate spatial fluxes for all statistics.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…In future work, the spatial transport terms in the Lagrangian pdf model will be validated against particle-laden turbulent channel flow data with significant mass loading, such as in Capecelatro et al (2016a). P is given by the Choleski algorithm (here for the lower triangular matrix):…”

Section: Discussionmentioning

confidence: 99%

“…In analogy to singlephase flow, where dissipation of turbulent kinetic energy leads to viscous heating, it is modelled as a particle-phase anisotropic dissipation tensor ε p , whose trace divided by two gives the scalar particle-phase dissipation ε p . As shown in Capecelatro et al (2015Capecelatro et al ( , 2016a, when the mean mass loading is significant, the particle-phase pressure tensor is highly anisotropic due to the source term ε p (i.e., f s ≈ 0.93 in (8.9)).…”

Section: Ra Macroscopic Equationsmentioning

confidence: 99%

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A Lagrangian probability-density-function model for collisional turbulent fluid–particle flows

et al. 2019

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Inertial particles in turbulent flows are characterised by preferential concentration and segregation and, at sufficient mass loading, dense particle clusters may spontaneously arise due to momentum coupling between the phases. These clusters, in turn, can generate and sustain turbulence in the fluid phase, which we refer to as cluster-induced turbulence. In the present theoretical work, we tackle the problem of developing a framework for the stochastic modelling of moderately dense particle-laden flows, based on a Lagrangian formalism, which naturally includes the Eulerian one. A rigorous formalism and a general model have been put forward focusing, in particular, on the two ingredients that are key in moderately dense flows, namely, two-way coupling in the carrier phase, and the decomposition of the particle-phase velocity into its spatially correlated and uncorrelated components. Specifically, this last contribution allows to identify in the stochastic model the contributions due to the correlated fluctuating energy and to the granular temperature of the particle phase, which determines the time scale for particle-particle collisions. Applications of the Lagrangian probability-density-function model developed in this work to moderately dense particle-laden flows are discussed in a companion paper.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Ra Macroscopic Equationsmentioning

confidence: 99%

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A Lagrangian probability-density-function model for collisional turbulent fluid–particle flows

et al. 2019

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“…The particle/wall collisions also affect the particle-induced turbulence modulation [49]. In addition, particles at high mass loading tend to decrease the thickness of the boundary layer and increase the skin friction [50], and act as the primary source of turbulence generation [8,9].…”

Section: Introductionmentioning

confidence: 99%

Inertial particle velocity and distribution in vertical turbulent channel flow: A numerical and experimental comparison

Wang

Fong

Coletti

et al. 2019

International Journal of Multiphase Flow

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This study is concerned with the statistics of vertical turbulent channel flow laden with inertial particles for two different volume concentrations (Φ V = 3 × 10 −6 and Φ V = 5 × 10 −5 ) at a Stokes number of St + = 58.6 based on viscous units. Two independent direct numerical simulation models utilizing the point-particle approach are compared to recent experimental measurements, where all relevant nondimensional parameters are directly matched. While both numerical models are built on the same general approach, details of the implementations are different, particularly regarding how two-way coupling is represented. At low volume loading, both numerical models are in general agreement with the experimental measurements, with certain exceptions near the walls for the wall-normal particle velocity fluctuations. At high loading, these discrepancies are increased, and it is found that particle clustering is overpredicted in the simulations as compared to the experimental observations. Potential reasons for the discrepancies are discussed. As this study is among the first to perform one-to-one comparisons of particle-laden flow statistics between numerical models and experiments, it suggests that continued efforts are required to reconcile differences between

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“…In those cases, gravity may also play an important role, i.e., horizontal and vertical pipes may show different clustering phenomena, see e.g., refs. [44][45][46][47]. A description of such clustering through turbophoresis and turbulent diffusion can also be done, but this is outside the scope of this paper.…”

Section: Discussionmentioning

confidence: 99%

Turbophoresis in forced inhomogeneous turbulence

Mitra

Haugen

2018

Eur. Phys. J. Plus

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Abstract. We show, by direct numerical simulations, that heavy inertial particles (characterized by Stokes number St) in inhomogeneously forced statistically stationary isothermal turbulent flows cluster at the minima of mean-square turbulent velocity. Two turbulent transport processes, turbophoresis and turbulent diffusion together determine the spatial distribution of the particles. If the turbulent diffusivity is assumed to scale with turbulent root-mean-square velocity, as is the case for homogeneous turbulence, the turbophoretic coefficient can be calculated. Indeed, for the above assumption, the non-dimensional product of the turbophoretic coefficient and the rms velocity is shown to increase with St for small St, reach a maxima for St ≈ 10 and decrease as ∼ St −0.33 for large St.

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Strongly coupled fluid-particle flows in vertical channels. I. Reynolds-averaged two-phase turbulence statistics

Cited by 40 publications

References 34 publications

A Lagrangian probability-density-function model for collisional turbulent fluid–particle flows

A Lagrangian probability-density-function model for collisional turbulent fluid–particle flows

Inertial particle velocity and distribution in vertical turbulent channel flow: A numerical and experimental comparison

Turbophoresis in forced inhomogeneous turbulence

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