2017
DOI: 10.1063/1.5002528
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Fully-resolved prolate spheroids in turbulent channel flows: A lattice Boltzmann study

Abstract: Particles are present in many natural and industrial multiphase flows. In most practical cases, particle shape is not spherical, leading to additional difficulties for numerical studies. In this paper, DNS of turbulent channel flows with finite-size prolate spheroids is performed. The geometry includes a straight wall-bounded channel at a frictional Reynolds number of 180 seeded with particles. Three different particle shapes are considered, either spheroidal (aspect ratio λ=2 or 4) or spherical (λ=1). Solid-p… Show more

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Cited by 42 publications
(28 citation statements)
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“…Wang (2017) studied spheroidal particles in a turbulent plane Couette flow with aspect ratios ranging form 0.5 to 2 at 5% volume fraction, revealing that the particle distribution of spheroids in the flow is not significantly modified by their shapes. Eshghinejadfard et al (2017) performed simulations of prolate particles up to 1.5% volume fraction in a turbulent channel flow, showing the disappearance of the particle wall-layer, previously observed for spheres (Picano et al 2015) and also slight turbulence attenuation with respect to the single-phase flow. Finite-size rigid fibers are studied in the work of (Do-Quang et al 2014) at low volume fractions around 0.1%.…”
Section: Introductionmentioning
confidence: 69%
“…Wang (2017) studied spheroidal particles in a turbulent plane Couette flow with aspect ratios ranging form 0.5 to 2 at 5% volume fraction, revealing that the particle distribution of spheroids in the flow is not significantly modified by their shapes. Eshghinejadfard et al (2017) performed simulations of prolate particles up to 1.5% volume fraction in a turbulent channel flow, showing the disappearance of the particle wall-layer, previously observed for spheres (Picano et al 2015) and also slight turbulence attenuation with respect to the single-phase flow. Finite-size rigid fibers are studied in the work of (Do-Quang et al 2014) at low volume fractions around 0.1%.…”
Section: Introductionmentioning
confidence: 69%
“…The previously mentioned challenges and limitations of experimental and theoretical approaches makes the use of advanced numerical tools a necessity for obtaining detailed information; despite the well-known limitations in terms of Reynolds numbers that can be reached in simulations (Prosperetti 2015). Lately, several groups have been successfully using numerical algorithms for interface-resolved direct numerical simulations (DNS) of different turbulent flows laden with finite size particles: examples are suspensions in isotropic turbulence (Ten Cate et al 2004;Lucci et al 2010), vertical channel flow (Uhlmann 2008), sedimentation (Chouippe & Uhlmann 2015;Fornari et al 2016b), bed load transport (Kidanemariam & Uhlmann 2014;Vowinckel et al 2014), channel transport of mono-dispersed particles (Wang et al 2016;Yu et al 2016;Wang et al 2017), and recently of poly-disperse (Lashgari et al 2017;Fornari et al 2018) and non-spherical particles (Ardekani et al 2017;Eshghinejadfard et al 2017). Likewise, the present work uses such simulations to study turbulent channel transport of neutrally-buoyant finite size spheres.…”
mentioning
confidence: 99%
“…Based on the thickness of the particle wall-layer, they proposed a relation able to predict the friction Reynolds number as function of the bulk Reynolds number. Indeed, the particle wall-layer was found to have a significant effect on the modulation of the near-wall turbulence, as in the case of non-spherical particles (Ardekani et al 2017;Eshghinejadfard et al 2017; where the absence of this layer leads to attenuation of the turbulence activity, resulting in drag reduction. Picano et al (2015) attribute the formation of the near-wall layer of spherical particles to the strong wall-particle lubrication interaction that stabilizes the particle wall-normal position, forcing it to roll on the wall.…”
Section: Introductionmentioning
confidence: 99%