2015
DOI: 10.1002/cjce.22290
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Modelling of cross‐flow microfiltration of dye‐loaded activated carbon in a ceramic tubular membrane module

Abstract: A hybrid process involving adsorption followed by microfiltration is a less energy-intensive alternative for treatment of textile effluent. Modelling of microfiltration of dye-loaded activated carbon in a tubular module is important for design and scale-up. In this work, a simple kinetic model for cake removal during microfiltration in a tubular module is derived from first principles.. Reactive black dye exhibits the highest flux decline rate among the four different dyes. Cake layer thickness is less than 1 … Show more

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Cited by 2 publications
(2 citation statements)
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“…Unlike the studies focused on the single membrane system which describe the fluid flow and fouling behavior in the porelevel 44,45 or membrane-level, 48,49 the present study for the first time reveals the time and spatial variations of flux distribution of the entire module. The first mode is the axial adjustment along each fiber and the second mode is the minimization of the diversity of flux distributions among fibers.…”
Section: Dynamic Evolution Of Flux Distributionmentioning
confidence: 92%
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“…Unlike the studies focused on the single membrane system which describe the fluid flow and fouling behavior in the porelevel 44,45 or membrane-level, 48,49 the present study for the first time reveals the time and spatial variations of flux distribution of the entire module. The first mode is the axial adjustment along each fiber and the second mode is the minimization of the diversity of flux distributions among fibers.…”
Section: Dynamic Evolution Of Flux Distributionmentioning
confidence: 92%
“…As the foulants accumulate on the membrane surface, both of the non-uniformities of flux axial and radial distributions will get largely relieved. Unlike the studies focused on the single membrane system which describe the fluid flow and fouling behavior in the porelevel 44,45 or membrane-level, 48,49 the present study for the first time reveals the time and spatial variations of flux distribution of the entire module.…”
Section: Dynamic Evolution Of Flux Distributionmentioning
confidence: 92%