1970
DOI: 10.1021/ie50725a003
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Flow of Suspensions through Porous Media—Application to Deep Filtration

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Cited by 865 publications
(604 citation statements)
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References 19 publications
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“…Packed-bed clogging differs from breach plugging in that the velocities in packed beds are low, of the order of 1 mm/s for deep-bed filters, compared to velocities of 20-50 m/s in breach releases. Herzig et al (1970) describe the clogging mechanisms present in deep filtration with packed beds. The wedging of particles in crevices is likely to be a significant contributor to clogging at higher particle velocities where the kinetic energy is high enough to force the wedging.…”
Section: 3mentioning
confidence: 99%
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“…Packed-bed clogging differs from breach plugging in that the velocities in packed beds are low, of the order of 1 mm/s for deep-bed filters, compared to velocities of 20-50 m/s in breach releases. Herzig et al (1970) describe the clogging mechanisms present in deep filtration with packed beds. The wedging of particles in crevices is likely to be a significant contributor to clogging at higher particle velocities where the kinetic energy is high enough to force the wedging.…”
Section: 3mentioning
confidence: 99%
“…The wedging of particles in crevices is likely to be a significant contributor to clogging at higher particle velocities where the kinetic energy is high enough to force the wedging. Using geometric arguments, Herzig et al (1970) estimate the minimum diameter of a single particle that can wedge into and clog the pore throat between closely packed monodisperse bed grains as equal to the maximum width of the pore throat, 15.4% of the grain diameter. If three particles wedge simultaneously, the minimum diameter of the particles in the clog is 10% of the grain diameter.…”
Section: 3mentioning
confidence: 99%
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“…The deep bed filtration model consists of equations for particle balance, for 262 STOCHASTIC AND AVERAGED EQUATIONS kinetics of the particle capture and of the modified Darcy's law [8,10]:…”
Section: Classical Deep Bed Filtration Theorymentioning
confidence: 99%
“…For constant filtration coefficient, the solution of the initial-boundary value problem (1.1), (1.3) for T > X (see [8,14,24]) is:…”
Section: Classical Deep Bed Filtration Theorymentioning
confidence: 99%