Particle transport in a turbulent pipe flow: direct numerical simulations, phenomenological modelling and physical mechanisms

Zahtila, Tony; Chan, Leon; Ooi, Andrew; Philip, Jimmy

doi:10.1017/jfm.2022.987

Cited by 10 publications

(2 citation statements)

References 60 publications

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“…In this respect, over the last years, several numerical methods based on the coupling between DNS and the immersed boundary method (IBM) have appeared, and have been used to study particulate turbulence; see for example the numerical methods described in Kajishima et al (2001), Uhlmann (2005), Huang, Shin & Sung (2007), Breugem (2012), Kempe & Fröhlich (2012) and Hori, Rosti & Takagi (2022). Based on these developments, several works have carried out DNS of particulate turbulence, but mainly considering small Reynolds numbers and/or large particles, due to the extremely large computational cost; see for example Lucci, Ferrante & Elghobashi (2010; Oka & Goto (2022) for homogeneous isotropic turbulence, Uhlmann (2008); Shao, Wu & Yu (2012); Wang, Abbas & Climent (2018); Peng, Ayala & Wang (2019); Rosti & Brandt (2020); Yousefi, Ardekani & Brandt (2020); Costa, Brandt & Picano (2021) and Gao, Samtaney & Richter (2023) for channel flow, Lin et al (2017) for duct flow and Wang et al (2016) and Zahtila et al (2023) for pipe flow.…”

Section: Introductionmentioning

confidence: 99%

Finite-size inertial spherical particles in turbulence

Chiarini,

Rosti

2024

J. Fluid Mech.

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We investigate by direct numerical simulations the fluid–solid interaction of non-dilute suspensions of spherical particles moving in triperiodic turbulence, at the relatively large Reynolds number of $Re_\lambda \approx 400$ . The solid-to-fluid density ratio is varied between $1.3$ and $100$ , the particle diameter $D$ is in the range $16 \le D/\eta \le 123$ ( $\eta$ is the Kolmogorov scale) and the volume fraction of the suspension is $0.079$ . Turbulence is sustained using the Arnold–Beltrami–Childress cellular-flow forcing. The influence of the solid phase on the largest and energetic scales of the flow changes with the size and density of the particles. Light and large particles modulate all scales in an isotropic way, while heavier and smaller particles modulate the largest scales of the flow towards an anisotropic state. Smaller scales are isotropic and homogeneous for all cases. The mechanism driving the energy transfer across scales changes with the size and the density of the particles. For large and light particles the energy transfer is only marginally influenced by the fluid–solid interaction. For small and heavy particles, instead, the classical energy cascade is subdominant at all scales, and the energy transfer is essentially driven by the fluid–solid coupling. The influence of the solid phase on the flow intermittency is also discussed. Besides, the collective motion of the particles and their preferential location in relation to properties of the carrier flow are analysed. The solid phase exhibits moderate clustering; for large particles the level of clustering decreases with their density, while for small particles it is maximum for intermediate values.

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Section: Introductionmentioning

confidence: 99%

Finite-size inertial spherical particles in turbulence

Chiarini,

Rosti

2024

J. Fluid Mech.

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“…As particles approach the wall region, they interact with local turbulence structures, exhibiting a diverse range of behaviors based on their material and inertial properties (Mortimer et al, 2019). In recent years, one-way coupled studies are predominantly focused either on more complex geometries (Liu et al, 2023;Wang et al, 2021) or exploring physics underpinning the fundamentals of particle transport and migration (Zahtila et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Stokes number and coupling effects on particle interaction behavior in turbulent channel flows

Rupp,

Mortimer,

Fairweather

2023

Physics of Fluids

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The effects of Reynolds number (Reτ=180 and 300), particle Stokes number (St+=0.5, 50, and 92), and fluid–solid phase coupling level (one-way, two-way, and four-way) on particle behavior in turbulent channel flows has been investigated using direct numerical simulation and Lagrangian particle tracking. Previous studies have used all these levels of coupling, but in terms of those employing four-way coupling, no consideration is given as to how emergent phenomena due to collision dynamics within a flow affect the way in which particles impart feedback to the continuous phase. In the present work, we relate the particle–particle interaction to particle–fluid coupling, as well as in assessing its relation to the Stokes number. As the Reynolds number increases and the turbulent region narrows, fewer particles retain their velocity as they migrate to the wall-region leading to reduced streamwise velocity fluctuations and preferential concentration. It is also evident that low Stokes number particles are capable of minor wall-accumulation at Reτ=300. At this increased Reynolds number, four-way coupled simulations performed with moderate Stokes number particles (St+=50) are shown to diminish the effects of particle–fluid feedback, leading to similar fluid and particle statistics as the one-way coupled simulations. It is concluded that turbophoretic and preferential concentration effects are responsible for this phenomenon, since the increased collision rates due to larger concentrations of particles and velocity fluctuations in the wall-region correlate directly with the impact on the two-way coupling flow modifications. Analysis of the collision dynamics also indicates particles colliding with increased relative velocities and angles, which cause larger momentum transfer and directional redistribution, increasing and redirecting slip velocities. It is concluded that for midrange Stokes numbers, four-way coupling is imperative to increase simulation accuracy beyond that obtained assuming one-way coupling.

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