2018
DOI: 10.1103/physrevfluids.3.114302
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Conditional stability of particle alignment in finite-Reynolds-number channel flow

Abstract: Finite-size neutrally buoyant particles in a channel flow are known to accumulate at specific equilibrium positions or spots in the channel cross-section if the flow inertia is finite at the particle scale. Experiments in different conduit geometries have shown that while reaching equilibrium locations, particles tend also to align regularly in the streamwise direction. In this paper, the Force Coupling Method was used to numerically investigate the inertia-induced particle alignment, using square channel geom… Show more

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Cited by 19 publications
(15 citation statements)
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References 42 publications
(93 reference statements)
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“…However, early experiments [5] and most recent 2D simulations [23] report an increase of particle spacing over time in agreement with our own findings [25]. Some experiments report that for increasing Reynolds number the axial spacing between the particles decreases [22,28] even to the value of cross-streamline pairs [6]. However, other experiments report an increase of the spacing in linear trains with increasing Re, while the spacing decreases in staggered trains [29].…”
Section: Staggered and Linear Multi-particle Trainssupporting
confidence: 90%
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“…However, early experiments [5] and most recent 2D simulations [23] report an increase of particle spacing over time in agreement with our own findings [25]. Some experiments report that for increasing Reynolds number the axial spacing between the particles decreases [22,28] even to the value of cross-streamline pairs [6]. However, other experiments report an increase of the spacing in linear trains with increasing Re, while the spacing decreases in staggered trains [29].…”
Section: Staggered and Linear Multi-particle Trainssupporting
confidence: 90%
“…The separation of the leading particle from the rest of the train was also reported in simulations by Gupta et al [28]. They also mention stable trains up to a certain cluster size, an effect the authors name conditional stability.…”
Section: Linear Particle Trainssupporting
confidence: 59%
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