Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/137680
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Type: Journal article
Title: Inertial focusing of spherical particles in curved microfluidic ducts at moderate Dean numbers
Author: Harding, B.
Stokes, Y.M.M.
Citation: Journal of Fluid Mechanics, 2023; 957
Publisher: CAMBRIDGE UNIV PRESS
Issue Date: 2023
ISSN: 0022-1120
1469-7645
Statement of
Responsibility: 
Brendan Harding, and Yvonne M. Stokes
Abstract: We examine the effect of Dean number on the inertial focusing of spherical particles suspended in flow through curved microfluidic ducts. Previous modelling of particle migration in curved ducts assumed the flow rate was small enough that a leading-order approximation of the background flow with respect to the Dean number produces a reasonable model. Herein, we extend our model to situations involving a moderate Dean number (in the microfluidics context) while the particle Reynolds number remains small. Variations in the Dean number cause a change in the axial velocity profile of the background flow which influences the inertial lift force on a particle. Simultaneously, changes in the cross-sectional velocity components of the background flow directly affect the secondary flow induced drag. In keeping the particle Reynolds number small, we continue to approximate the inertial lift force using a regular perturbation while capturing the subtle effects from the modified background flow. This approach pushes the limits at which a regular perturbation is applicable to provide some insights into how variations in the Dean number influence particle focusing. Our results illustrate that, as the extrema in the background flow move towards the outside of edge of the cross-section with increasing Dean number, we observe a similar shift in the stable equilibria of some, but not all, particle sizes. This might be exploited to enhance the lateral separation of particles by size in a number of practical scenarios.
Keywords: microfluidics; particle/fluid flow
Rights: © The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
DOI: 10.1017/jfm.2023.43
Grant ID: http://purl.org/au-research/grants/arc/DP200100834
http://purl.org/au-research/grants/arc/FT160100108
Published version: http://dx.doi.org/10.1017/jfm.2023.43
Appears in Collections:Computer Science publications

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