Numerical Simulation of Flow Patterns in Cyclones of Different Cone Dimensions

Xiang, R. B.; Lee, Ken W.

doi:10.1002/ppsc.200500946

Cited by 14 publications

(2 citation statements)

References 15 publications

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“…The statistics of the collection efficiency were obtained by monitoring the number of particles escaping through the overflow. In this study, purely structured hexahedral mesh, aligned with flow direction which reduces numerical diffusion was generated for the entire cyclone geometry in accordance with previous studies (Slack et al, 2000;Xiang and Lee, 2005). The grid refinement was applied in the central region of the cyclone separator so as to resolve the PVC phenomenon (Fig.…”

Section: Cfd Methodsmentioning

confidence: 99%

Evaluation of Numerical Schemes for Dispersed Phase Modeling of Cyclone Separators

Shukla

Ghosh

2011

Engineering Applications of Computational Fluid Mechanics

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This study investigates the performance of different discretization schemes for simulation of dispersed phase of cyclone separators by using Reynolds stress turbulence model facility of CFD code Fluent 6.3.26. The continuous flow inside the cyclone separator is simulated by solving Reynolds averaged three dimensional unsteady Navier-Stokes equation in Eulerian reference frame whereas the dispersed phase is modeled using Lagrangian approach. Analysis of computed results shows that the high order discretization schemes give satisfactory performance for simulation of dispersed particles of all size. However the prediction of trapezoidal discretization scheme is found to be marginally better than that of the Runge-Kutta scheme. The low order schemes and combination of low order and high order schemes failed to predict accurately the collection efficiency of the smaller dispersed particles. The results suggest that the CFD method using trapezoidal scheme for discretization of equation of motion of dispersed particles is the optimum choice for simulation of the second phase of cyclone separators.

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Section: Cfd Methodsmentioning

confidence: 99%

Evaluation of Numerical Schemes for Dispersed Phase Modeling of Cyclone Separators

Shukla

Ghosh

2011

Engineering Applications of Computational Fluid Mechanics

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“…Accurate flow field and pressure distribution are the key factors influencing predic tion of particle collection efficiency and cutoff diameter. Several researchers have numerically studied the flow fields of tangential flow cyclones and examined the influence of different geometries and operating conditions on their collection efficiencies ( − ). Recently, Gimbun et al () used the CFD approach for modeling the tangential flow cyclone.…”

Section: Introductionmentioning

confidence: 99%

Study of an Axial Flow Cyclone to Remove Nanoparticles in Vacuum

Tsai

Chen

Przekop

et al. 2007

Environ. Sci. Technol.

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An axial flow cyclone for removing nanoparticles was tested for collection efficiency. Data were validated numerically in vacuum conditions of several Torrs, with flow rates of 0.35-0.57 slpm. The experimental cutoff aerodynamic diameter of the cyclone ranged from 21.7 to 49.8 nm. A 3-D numerical simulation was conducted first to calculate detailed flow and pressure fields, then a Brownian Dynamics simulation was done to determine the collection efficiency of nanoparticles. Both centrifugal force and Brownian diffusion were taken into account. The simulated results for both pressure drop and cutoff aerodynamic diameter are in good agreement with the experimental data. In comparison, previous theories using simplified tangential flow field assumption are not able to predict collection efficiencies accurately. The numerical model developed in this study can facilitate cyclone design to classify valuable nanopowders below a certain diameter, or to remove toxic nanoparticles from the vacuum exhaust of process chambers commonly used in high-tech industries.

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Numerical Study of Air–Vapor–Particle Flow in Gas Cyclone

Jin,

Zhao,

Zhang

et al. 2024

Part & Part Syst Charact

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This paper presents a numerical study of the complex multiphase flow of air, vapor, and particles in an innovative gas cyclone called CAP cyclone. The air–vapor flow is modeled as a mixture by the Reynolds‐averaged Navier‐Stokes equations with the mixture species transport and the Eulerian wall film model using FLUENT. Particle flow is modeled by the Lagrangian particle tracking method and the condensational growth of particle droplets is modeled via a user‐defined function. The model is validated by reaching good agreement with experimental results. Flow field analysis shows that the added vapor does not change the major vortex characteristics in the cyclone, but the vapor distribution is not uniform. The vapor concentration is much higher in the upper part than in the lower part of the cyclone, leading to insufficient condensational growth in the lower part. A secondary vapor injection is proposed to improve the vapor concentration in the lower part, which is shown to be effective in improving the collection efficiency. The model and the results are helpful to the understanding and optimization of the CAP cyclone technology, and also the vapor and particle droplet flow in turbulent flows.

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Numerical Simulation of Flow Patterns in Cyclones of Different Cone Dimensions

Cited by 14 publications

References 15 publications

Evaluation of Numerical Schemes for Dispersed Phase Modeling of Cyclone Separators

Evaluation of Numerical Schemes for Dispersed Phase Modeling of Cyclone Separators

Study of an Axial Flow Cyclone to Remove Nanoparticles in Vacuum

Numerical Study of Air–Vapor–Particle Flow in Gas Cyclone

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