Antonopoulou, E, Rohmann-Shaw, CF, Sykes, TC orcid.org/0000-0002-9996-3004 et al. (3 more authors) (2018) Numerical and experimental analysis of the sedimentation of spherical colloidal suspensions under centrifugal force. Physics of Fluids, 30 (3). 030702. 030702-030702. ISSN 1070-6631
Abstract
Understanding the sedimentation behaviour of colloidal suspensions is crucial in determining their stability. Since sedimentation rates are often very slow, centrifugation is used to expedite sedimentation experiments. The effect of centrifugal acceleration on sedimentation behaviour is not fully understood. Furthermore, in sedimentation models, interparticle interactions are usually omitted by using the hard-sphere assumption. This work proposes a one-dimensional model for sedimentation using an effective maximum volume fraction, with an extension for sedimentation under centrifugal force. A numerical implementation of the model using an adaptive finite difference solver is described. Experiments with silica suspensions are carried out using an analytical centrifuge. The model is shown to be a good fit with experimental data for 480 nm spherical silica, with the effects of centrifugation at 705 rpm studied. A conversion of data to Earth gravity conditions is proposed, which is shown to recover Earth gravity sedimentation rates well. This work suggests that the effective maximum volume fraction accurately captures interparticle interactions and provides insights into the effect of centrifugation on sedimentation.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2018 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). https://doi.org/10.1063/1.5010735 |
Keywords: | Colloidal systems; Kinematics; Separation processes; Statistical mechanics models; Finite difference methods |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Feb 2018 15:46 |
Last Modified: | 15 Feb 2018 16:33 |
Status: | Published |
Publisher: | American Institute of Physics |
Identification Number: | 10.1063/1.5010735 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:127483 |