2008
DOI: 10.1080/07373930802175135
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Mechanism of Particle Separation in Small Hydrocyclone

Abstract: The mechanism of particle separation in a small hydrocyclone is analyzed in this study. The separation efficiency of particles is affected by two major effects, the centrifugal and underflow effects. The fundamentals of these effects on the selectivity curve are derived from the theories of hydrodynamics. Three JIS particulate samples are separated in a 10-mm hydrocyclone. The proposed mechanism can be demonstrated by the available data. An increase in split ratio leads to an increase in the separation efficie… Show more

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Cited by 23 publications
(18 citation statements)
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“…The continuous classification of particles above the size of 1 lm [8][9][10][11] and the batchwise classification of small amounts of nanoparticles with microchannel technologies [12][13][14][15][16] are well developed, but for bulk products there is no apparatus available to classify nanoparticles. The required separating forces for the classification of fine particles and nanoparticles could be achieved in high-speed centrifuges.…”
Section: Introductionmentioning
confidence: 99%
“…The continuous classification of particles above the size of 1 lm [8][9][10][11] and the batchwise classification of small amounts of nanoparticles with microchannel technologies [12][13][14][15][16] are well developed, but for bulk products there is no apparatus available to classify nanoparticles. The required separating forces for the classification of fine particles and nanoparticles could be achieved in high-speed centrifuges.…”
Section: Introductionmentioning
confidence: 99%
“…This is attributed to the underflow and particle diffusion effects (Hwang et al, 2008). Since both centrifugal and underflow effects increase their impacts by increasing the pressure drop, the entire partial separation efficiency will be improved.…”
Section: Resultsmentioning
confidence: 99%
“…The particle velocity in such a centrifugal field, u c , can be estimated using the following equation (Hwang et al, 2008): where r p is the particle density, r is the radial distance from the axial center of the hydrocyclone to the particle location, v is the angular velocity, and C D is the drag coefficient. Since the drag coefficient can be empirically correlated to the particle Reynolds number, the particle velocity can then be calculated using an iteration process (Hwang et al, 2008). Combining with the mean particle residence time in the hydrocyclone, t r , the Stokes number, Stk, can be defined as…”
Section: Resultsmentioning
confidence: 99%
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