Albert S. Kim

TL;DR: In this paper, a laboratory-scale crossflow membrane filtration apparatus was designed to investigate the relative influence of filter geometry and shear rate on colloidal fouling of reverse osmosis (RO) and nanofiltration (NF) membranes.

TL;DR: In this article, the authors provide an assessment of present efforts in modeling MBR systems, specifically for municipal wastewater treatment, and present MBR models are classified into three categories: biomass kinetic models, membrane fouling models, and integrated models with light couplings to describe the complete MBR process.

TL;DR: In this paper, combined fouling by organic and inorganic colloidal fouants is studied, and three hypothesized mechanisms responsible for the enhanced membrane flux decline in the presence of multiple fouant types are examined: increased hydraulic resistance of the mixed cake layer structure, hindered fouant diffusion due to interactions between solute concentration polarization layers, and changes in colloid surface properties due to organic adsorption.

TL;DR: A theoretical approach for predicting the influence of interparticle interactions on concentration polarization and the ensuing permeate flux decline during cross-flow membrane filtration of charged solute particles is presented.

TL;DR: In this paper, a radial basis function neural network (RBFNN) was used to predict long-term permeate flux decline in crossflow membrane filtration in colloidal membranes.