A study of the pneumatic conveying of non-spherical particles in a turbulent horizontal channel flow

Laı́n, Santiago; Sommerfeld, Martin

doi:10.1590/s0104-66322007000400007

Cited by 23 publications

(15 citation statements)

References 15 publications

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“…Note that this method is different from common practice, e.g. 43,44 , where the inclusion of an equivalent diameter alone as the geometric parameter and optionally a shape factor, e.g. the sphericity, in the empirical drag coefficient is used to account for the departure in shape from a sphere, but the orientation dependency is ignored.…”

Section: Rementioning

confidence: 99%

Simulation of inertial fibre orientation in turbulent flow

Njobuenwu

Fairweather

2016

Physics of Fluids

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The spatial and orientational behaviour of fibres within a suspension influences the rheological and mechanical properties of that suspension. An Eulerian-Lagrangian framework to simulate the behaviour of fibres in turbulent flows is presented. The framework is intended for use in simulations of nonspherical particles with high Reynolds numbers, beyond the Stokesian regime, and is a computationally efficient alternative to existing Stokesian models for fibre suspensions in turbulent flow. It is based on modifying available empirical drag correlations for the translation of non-spherical particles to be orientation dependent, accounting for the departure in shape from a sphere. The orientational dynamics of a particle is based on the framework of quaternions, while its rotational dynamics is obtained from translational dynamics, in terms of preferential concentration, is strongly dependent on their inertia and less so on their aspect ratio. However, the contrary is the case for the fibre alignment distribution as this is strongly dependent on the fibre aspect ratio and velocity gradient, and only moderately dependent on particle inertia. The fibre alignment with the flow direction is found to be mostly anisotropic where the velocity gradient is large (i.e. viscous sub-layer and buffer regions), but is virtually non-existent and isotropic where the turbulence is near-isotropic (i.e. channel centre). The present investigation highlights that the level of fibre alignment with the flow direction reduces as a fibre's inertia decreases, and as the shape of the fibre approaches that of a sphere. Short fibres, and especially near-spherical 001 . 1  particles, are found to exhibit isotropic orientation with respect to all directions, whilst sufficiently long fibres align themselves parallel to the flow direction, and orthogonal to the other two co-ordinate directions, and the vorticity and flow velocity gradient directions.2

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Section: Rementioning

confidence: 99%

Simulation of inertial fibre orientation in turbulent flow

Njobuenwu

Fairweather

2016

Physics of Fluids

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“…The literature contains no information about the carrier phase turbulence modulation due to non-spherical particles [27]. Therefore, the conventional k- turbulence model was applied in the simulations without alteration.…”

Section: Turbulence Modellingmentioning

confidence: 99%

“…Particle shape is known to play a significant role on the particle-fluid interaction and particle dispersion in a two-phase flow and has been the subject of investigation in literature [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

“…They concluded that the particle shape had a significant influence on the bulk flow. Laín and Sommerfeld [27] performed a study on the dilute pneumatic conveying of non-spherical particles in a horizontal channel using PDA to measure gas and particle velocities. In their numerical model, the particles were assumed to be isometric (low-aspect-ratio) with the ratio of the maximum length to the minimum length below 1.7.…”

Section: Introductionmentioning

confidence: 99%

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Numerical and experimental study of horizontal pneumatic transportation of spherical and low-aspect-ratio cylindrical particles

2016

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“…First, in the dilute phase, a reduction in the pressure is observed due to the settling of the particles in the lower half of the pipe line [18]. The settling is a consequence of the dominant gravity effect and particles inertia that is leading to the particles separation [19]. The pressure reduction continues until it reaches a minimum pressure point which is corresponding to saltation velocity of the carrier phase.…”

Section: Introductionmentioning

confidence: 99%

Solid Particles Injection in Gas Turbulent Channel Flow

Kabeel¹,

Elkelawy²,

Bastawissi³

et al. 2016

EPE

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This paper represents a review of the recent researches that investigate the behavior of the gas turbulent flow laden with solid particles. The significant parameters that influence the interactions between the both phases, such as particle size, loading ratio and the gas velocity, have been extensively reviewed. Those parameters are presented in dimensionless numbers in which the applicability of studying its effect in terms of all circumstances of the gas turbulent channel flow at different condition is possible. The represented results show that the turbulence degree is proportional to the particle size. It was found that at the most flow conditions even at low mass ratio, the particle shape, density and size significantly alter the turbulence characteristics. However, the results demonstrate that the particle Reynolds number is a vital sign: the turbulence field becomes weaker if particle Reynolds number is lower than the critical limit and vies verse. The gas velocity has a strong effect on the particles settling along the channel flow and as a result, the pressure drop will be affected.

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A study of the pneumatic conveying of non-spherical particles in a turbulent horizontal channel flow

Cited by 23 publications

References 15 publications

Simulation of inertial fibre orientation in turbulent flow

Simulation of inertial fibre orientation in turbulent flow

Numerical and experimental study of horizontal pneumatic transportation of spherical and low-aspect-ratio cylindrical particles

Solid Particles Injection in Gas Turbulent Channel Flow

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