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Mass Transfer Characteristics of Haemofiltration Modules—Experiments and Modeling

Authors :
Alexandra Moschona
Margaritis Kostoglou
Anastasios J. Karabelas
Source :
Membranes, Vol 12, Iss 1, p 62 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Reliable mathematical models are important tools for design/optimization of haemo-filtration modules. For a specific module, such a model requires knowledge of fluid- mechanical and mass transfer parameters, which have to be determined through experimental data representative of the usual countercurrent operation. Attempting to determine all these parameters, through measured/external flow-rates and pressures, combined with the inherent inaccuracies of pressure measurements, creates an ill-posed problem (as recently shown). The novel systematic methodology followed herein, demonstrated for Newtonian fluids, involves specially designed experiments, allowing first the independent reliable determination of fluid-mechanical parameters. In this paper, the method is further developed, to determine the complete mass transfer module-characteristics; i.e., the mass transfer problem is modelled/solved, employing the already fully-described flow field. Furthermore, the model is validated using new/detailed experimental data on concentration profiles of a typical solute (urea) in counter-current flow. A single intrinsic-parameter value (i.e., the unknown effective solute-diffusivity in the membrane) satisfactorily fits all data. Significant insights are also obtained regarding the relative contributions of convective and diffusive mass-transfer. This study completes the method for reliable module simulation in Newtonian-liquid flow and provides the basis for extension to plasma/blood haemofiltration, where account should be also taken of oncotic-pressure and membrane-fouling effects.

Details

Language :
English
ISSN :
20770375
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Membranes
Publication Type :
Academic Journal
Accession number :
edsdoj.8df8a78b98444b1e9efd9f242e012084
Document Type :
article
Full Text :
https://doi.org/10.3390/membranes12010062