Numerical simulations of gas–liquid–solid flows in a hydrocyclone separator

Mousavian, S. M.; Najafi, Atabak

doi:10.1007/s00419-008-0237-2

Cited by 51 publications

(17 citation statements)

References 29 publications

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“…In order to deal with the coupling of velocity and pressure, the well-known SIMPLE (Semi-Implicit Method for Pressure-Linked Equations) strategy was used due to the reasonable accuracy and relative low calculation cost [32]. The PRESTO (pressure staggered option), a pressure interpolation scheme that is beneficial for predicting the highly swirling flow characteristics prevailing inside the fluidic amplifier, was adopted [33]. As the dynamic mesh method only works with the first-order time advancement at present, the first-order upwind scheme was employed for the discretization [34].…”

Section: Boundary Conditions and Solving Strategiesmentioning

confidence: 99%

Performance Study of a Fluidic Hammer Controlled by an Output-Fed Bistable Fluidic Oscillator

Zhang

Peng

et al. 2016

Applied Sciences

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Using a no-moving-component output-fed bistable fluidic oscillator to control fluid flows into a parallel path has been recognized for a considerable time, but as yet it is not so widely adopted as its obvious benefits would deserve. This may be attributed to the encountered problems associated with its jet behavior, complicated by its loading characteristics. In order to investigate a typical case for the application of the output-fed fluidic oscillator, this paper elaborates on the computational fluid dynamics (CFD) simulation method for studying the performance of a fluidic hammer controlled by an output-fed bistable fluidic oscillator. Given that couple mechanism exists between the flow field in the fluidic oscillator and the impact body, dynamic mesh technique and a user-defined function written in C programming language were used to update the mesh in the simulations. In terms of the evaluation of performance, the focus is on the single-impact energy and output power of the fluidic hammer in this study, to investigate the effect of different parameters of the impact body on them. Experimental tests based on the noncontact measuring method were conducted to verify the simulation results, by which the accuracy and reliability of this CFD simulation method was proved.

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Section: Boundary Conditions and Solving Strategiesmentioning

confidence: 99%

Performance Study of a Fluidic Hammer Controlled by an Output-Fed Bistable Fluidic Oscillator

Zhang

Peng

et al. 2016

Applied Sciences

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“…The mesh densities of 1,500,000, 1,100,000 and 950,000 cells are optimal for good predictions and reasonable computational time for simulations in the LES, RSM and RNG k-ε, respectively. Further details of the mesh scheme, k-ε and RSM simulation condition, and laboratory model has been discussed in the previous work [16]. In the LES model, the same mesh schemes and operational condition as in the RNG k-ε and RSM were applied.…”

Section: Simulationmentioning

confidence: 99%

Influence of geometry on separation efficiency in a hydrocyclone

Mousavian¹,

Najafi²

2008

Arch Appl Mech

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A numerical study of the gas-liquid-solid multiphase flow in hydrocyclones is presented. Three models of turbulence, the RNG k-ε model, the Reynolds stress model and Large eddy simulation with the volume of fluid model (VOF) multiphase model for simulating air core are compared in order to predict axial and tangential velocity distributions. This presentation is mainly aimed at identifying an optimal method, used to study effective parameters, based on which, eventually, effect of inlet flow rate variations and body dimension variations such as underflow diameter, overflow diameter and cone angle on the separation performance and pressure drop are investigated. The results are then used in the simulation of particle flow described by the stochastic Lagrangian model. The results suggest that the predicted size classifications are approximately similar to those of RSM and LES methods. Predictions using the RSM model are found in agreement with experimental results with a marginal error within the range of 4 to 8%. Proceeding model validation, parametric studies have been carried out concerning the influence of velocity inlet, particle size and body dimension such as underflow and overflow diameter and cone angle. The predictions demonstrate that the flow fields in the hydrocyclones with different sizes and lengths are different, which yields different performances.

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“…This method is a simple and efficient formulation designed to track the interface of two phases that do not interpenetrate with a relatively small number of interfaces. Hence it is often used to simulate the gas-liquid multiphase flow in industrial devices (Brennan, 2003;Brennan et al, 2007;Li et al, 1999;Mousavian & Najafi, 2009). VOF introduces a variable  which takes values from zero to one and represents the volume fraction of one of the phases in each cell.…”

Section: Two-phase Approachmentioning

confidence: 99%