Computational fluid dynamics (CFD) and empirical modelling of the performance of a number of cyclone samplers

Griffiths, W.D.; Boysan, F.

doi:10.1016/0021-8502(95)00549-8

Cited by 243 publications

(107 citation statements)

References 28 publications

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“…The complicated swirling turbulent flow in a cyclone places great demands on the numerical techniques and the turbulence models employed in the CFD codes when modelling the cyclone flow field and performance. CFD has a great potential to predict the flow field characteristics and particle trajectories inside the cyclone as well as the pressure drop (Slack et 2008) 2000; Griffith and Boysan, 1996). CFD is also capable of predicting the cyclone performance at various operating conditions as demonstrated in our previous work (Gimbun et al, 2005a(Gimbun et al, & 2005b.…”

Section: Introductionmentioning

confidence: 94%

CFD Simulation of Aerocyclone Hydrodynamics and Performance at Extreme Temperature

Gimbun¹

2008

Engineering Applications of Computational Fluid Mechanics

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This work presents a Computational Fluid Dynamics calculation to predict and to evaluate the hydrodynamics and performance of a cyclone operating at extreme temperature. The numerical solutions were carried out using commercial CFD code FLUENT 6.1. The simulation was realised using a Reynolds stress model (RSM) for turbulent modelling and discrete phase model (DPM) for particle trajectories calculation. The kinetic theory was employed to predict the physical gas properties, i.e., ρ, C p and μ as they vary with the operating temperature. The CFD simulations predict excellently the cyclone performance and gas properties at extreme operating conditions with a deviation of about 5% from the experimental data. The physical mechanism for cyclones operating under high temperature has been also successfully elucidated. Results obtained from the computer modelling exercise have demonstrated that CFD is a reliable method of modelling the cyclone performance at extreme temperature. Therefore, similar method can be applied to examine the effects of operating temperature on the cyclone performance. This method of analysis is almost certainly less expensive than experiment, and represents a cost-effective route for design optimisation.

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Section: Introductionmentioning

confidence: 94%

CFD Simulation of Aerocyclone Hydrodynamics and Performance at Extreme Temperature

Gimbun¹

2008

Engineering Applications of Computational Fluid Mechanics

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“…Particle-particle interactions and the influence of the particle phase on the gas phase are not taken into consideration. Griffiths and Boysan (1996) used the same assumptions.…”

Section: Lagrangean Particle Transport Modelmentioning

confidence: 99%

“…This coefficient was taken here to be one. Griffiths and Boysan (1996) also used these assumptions in a similar model.…”

Section: Momentum Equationmentioning

confidence: 99%

The cyclonic dryer: a numerical and experimental analysis of the influence of geometry on average particle residence time

Corrêa

Graminho

Silva

et al. 2004

Braz. J. Chem. Eng.

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-Particle residence time is an extremely important variable in a cyclonic dryer project. With the goal of obtaining a device that conduces to a long particle residence time, the influence of cyclone dimensions on particle residence time and on the type of flow is discussed here. The research was based on a device with a very high ratio of cyclone diameter to other dimensions. Simulations were developed with computational fluid dynamics techniques by the use of the commercial code CFX 4.4  of AEA Technology. Particles were treated individually. The fit of a turbulence model was also discussed. Theoretical and experimental results showed that the dimensions of the conical part of the cyclone had a very important influence on flow and consequently on particle residence time. The influences of volumetric concentration and particle diameter on particle residence time were also observed.

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“…With the rapid advancement in computing technology, availability of good commercial solvers at affordable cost and a large number of investigations, computational fluid dynamics (CFD) method has become an alternative tool to design and characterize the performance of cyclone separators. The CFD method has great potential to predict the fluid flow characteristics, particle trajectories and pressure drop in cyclone separators (Griffiths and Boysan, 1996). Initial research in simulation of cyclone separators based on two dimensional (Meier and Mori, 1999) and axisymmetric modeling assumptions (Boysan et al, 1982;Hoekstra et al, 1999) could not accurately resolve the complete flow physics inside cyclone separators due to the phenomenon of precessing vortex core (PVC), three dimensional nature of flow and secondary eddies and flows (Derksen, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Initial research in simulation of cyclone separators based on two dimensional (Meier and Mori, 1999) and axisymmetric modeling assumptions (Boysan et al, 1982;Hoekstra et al, 1999) could not accurately resolve the complete flow physics inside cyclone separators due to the phenomenon of precessing vortex core (PVC), three dimensional nature of flow and secondary eddies and flows (Derksen, 2003). The numerical simulation quality depends largely on the type of turbulence modeling applied for approximation of turbulence present in the carrying gas (Griffiths and Boysan, 1996).The two equation k-є turbulence model and its variants are inadequate to simulate highly swirling turbulence flow in cyclone separators due to the assumption of isotropic turbulence structure in their formulation (Horvath et al, 2008). Shalaby et al (2005) have also reported the inability of k-є turbulence model in proper simulation of cyclone separators.…”

Section: Introductionmentioning

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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Computational fluid dynamics (CFD) and empirical modelling of the performance of a number of cyclone samplers

Cited by 243 publications

References 28 publications

CFD Simulation of Aerocyclone Hydrodynamics and Performance at Extreme Temperature

CFD Simulation of Aerocyclone Hydrodynamics and Performance at Extreme Temperature

The cyclonic dryer: a numerical and experimental analysis of the influence of geometry on average particle residence time

Evaluation of Numerical Schemes for Dispersed Phase Modeling of Cyclone Separators

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