A surface-renewal model for constant flux cross-flow microfiltration

TL;DR

This paper introduces a mathematical surface-renewal model for constant flux cross-flow microfiltration, providing explicit formulas for transmembrane pressure and cake buildup, validated against multiple experimental datasets with good accuracy.

Contribution

The paper develops a novel surface-renewal model for microfiltration that explicitly accounts for cake compression and surface renewal, extending classical cake-filtration theory.

Findings

Model accurately predicts TMP with RMS errors below 12%.

Complete and subsidiary models applicable to compressible and incompressible cakes.

Validated against experimental data from soybean-oil, bovine serum albumin, and yeast filtration.

Abstract

A mathematical model using classical cake-filtration theory and the surface-renewal concept is formulated for describing constant flux, cross-flow microfiltration (CFMF). The model provides explicit analytical expressions for the transmembrane pressure drop (TMP) and cake-mass buildup on the membrane surface as a function of filtration time. The basic parameters of the model are the membrane resistance, specific cake resistance, and rate of surface renewal. The surface-renewal model has two forms: the complete model, which holds for compressible cakes, and a subsidiary model for incompressible cakes, which can be derived from the complete model. The subsidiary model is correlated against some of the experimental TMP data reported by Miller et al. (2014) for constant flux CFMF of a soybean-oil emulsion in a cross-flow filtration cell having unmodified and surface-modified, fouling-resistant membranes, and has an average root-mean-square (RMS) error of 6.2%. The complete model is fitted to the experimental TMP data reported by Ho and Zydney (2002) for constant flux microfiltration of a bovine serum albumin solution in a stirred cell using polycarbonate track-etched membranes and has an average RMS error of 11.2%. This model is also correlated against the TMP data of Kovalsky et al. (2009) for constant flux yeast filtration in a stirred cell (average RMS error = 9.2%).