The University of Southampton
University of Southampton Institutional Repository

Prediction of mass transport profiles in a laboratory filter-press electrolyser by computational fluid dynamics modelling

Vázquez, L., Alvarez-Gallegos, A, Sierra, F.Z, Ponce de León, C. and Walsh, F.C (2009) Prediction of mass transport profiles in a laboratory filter-press electrolyser by computational fluid dynamics modelling Electrochimica Acta, pp. 1-8. (doi:10.1016/j.electacta.2009.08.067).

Record type: Article


A commercial computational fluid dynamics code (Fluent) has been used to analyze the performance of a unit cell laboratory; the filter-press reactor (FM01-LC) operating with characteristic linear flow velocities between 0.024ms?1 and 0.110ms?1. The electrolyte flow through the reactor channel was numerically simulated using a finite volume approach to the solution of the Navier–Stokes equations. The flow patterns in the reactor were obtained and the mean linear electrolyte velocity was evaluated and substituted into a general mass transport correlation to calculate the mass transport coefficients. In the region of 150 < Re < 550, mass transport coefficients were obtained with a relative error between 5% and 29% respect to the experimental km values. The differences between theoretical and experimental values are discussed

PDF Prediction_of_mass_transport.pdf - Version of Record
Restricted to Repository staff only
Download (915kB)

More information

Published date: 2009
Keywords: computational fluid dynamics, FM01-LC, cell design, mass transport, flow patterns
Organisations: Engineering Mats & Surface Engineerg Gp


Local EPrints ID: 69888
ISSN: 0013-4686
PURE UUID: 8d952dad-45a5-4ce9-9ead-2dbcc91d234b

Catalogue record

Date deposited: 09 Dec 2009
Last modified: 19 Jul 2017 00:05

Export record



Author: L. Vázquez
Author: A Alvarez-Gallegos
Author: F.Z Sierra
Author: F.C Walsh

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.