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Aggregation and clogging phenomena of rigid microparticles in microfluidics: Comparison of a discrete element method (DEM) and CFD–DEM coupling method

We developed a numerical tool to investigate the phenomena of aggregation and clogging of rigid microparticles suspended in a Newtonian fluid transported through a straight microchannel. In a first step, we implement a time-dependent one-way coupling Discrete Element Method (DEM) technique to simula...

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Autores principales: Shahzad, Khurram, Aeken, Wouter Van, Mottaghi, Milad, Kamyab, Vahid Kazemi, Kuhn, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6190999/
https://www.ncbi.nlm.nih.gov/pubmed/30393471
http://dx.doi.org/10.1007/s10404-018-2124-7
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author Shahzad, Khurram
Aeken, Wouter Van
Mottaghi, Milad
Kamyab, Vahid Kazemi
Kuhn, Simon
author_facet Shahzad, Khurram
Aeken, Wouter Van
Mottaghi, Milad
Kamyab, Vahid Kazemi
Kuhn, Simon
author_sort Shahzad, Khurram
collection PubMed
description We developed a numerical tool to investigate the phenomena of aggregation and clogging of rigid microparticles suspended in a Newtonian fluid transported through a straight microchannel. In a first step, we implement a time-dependent one-way coupling Discrete Element Method (DEM) technique to simulate the movement and effect of adhesion on rigid microparticles in two- and three-dimensional computational domains. The Johnson–Kendall–Roberts (JKR) theory of adhesion is applied to investigate the contact mechanics of particle–particle and particle–wall interactions. Using the one-way coupled solver, the agglomeration, aggregation and deposition behavior of the microparticles is studied by varying the Reynolds number and the particle adhesion. In a second step, we apply a two-way coupling CFD–DEM approach, which solves the equation of motion for each particle, and transfers the force field corresponding to particle–fluid interactions to the CFD toolbox OpenFOAM. Results for the one-way (DEM) and two-way (CFD–DEM) coupling techniques are compared in terms of aggregate size, aggregate percentages, spatial and temporal evaluation of aggregates in 2D and 3D. We conclude that two-way coupling is the more realistic approach, which can accurately capture the particle–fluid dynamics in microfluidic applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10404-018-2124-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-61909992018-10-31 Aggregation and clogging phenomena of rigid microparticles in microfluidics: Comparison of a discrete element method (DEM) and CFD–DEM coupling method Shahzad, Khurram Aeken, Wouter Van Mottaghi, Milad Kamyab, Vahid Kazemi Kuhn, Simon Microfluid Nanofluidics Research Paper We developed a numerical tool to investigate the phenomena of aggregation and clogging of rigid microparticles suspended in a Newtonian fluid transported through a straight microchannel. In a first step, we implement a time-dependent one-way coupling Discrete Element Method (DEM) technique to simulate the movement and effect of adhesion on rigid microparticles in two- and three-dimensional computational domains. The Johnson–Kendall–Roberts (JKR) theory of adhesion is applied to investigate the contact mechanics of particle–particle and particle–wall interactions. Using the one-way coupled solver, the agglomeration, aggregation and deposition behavior of the microparticles is studied by varying the Reynolds number and the particle adhesion. In a second step, we apply a two-way coupling CFD–DEM approach, which solves the equation of motion for each particle, and transfers the force field corresponding to particle–fluid interactions to the CFD toolbox OpenFOAM. Results for the one-way (DEM) and two-way (CFD–DEM) coupling techniques are compared in terms of aggregate size, aggregate percentages, spatial and temporal evaluation of aggregates in 2D and 3D. We conclude that two-way coupling is the more realistic approach, which can accurately capture the particle–fluid dynamics in microfluidic applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10404-018-2124-7) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-08-30 2018 /pmc/articles/PMC6190999/ /pubmed/30393471 http://dx.doi.org/10.1007/s10404-018-2124-7 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Paper
Shahzad, Khurram
Aeken, Wouter Van
Mottaghi, Milad
Kamyab, Vahid Kazemi
Kuhn, Simon
Aggregation and clogging phenomena of rigid microparticles in microfluidics: Comparison of a discrete element method (DEM) and CFD–DEM coupling method
title Aggregation and clogging phenomena of rigid microparticles in microfluidics: Comparison of a discrete element method (DEM) and CFD–DEM coupling method
title_full Aggregation and clogging phenomena of rigid microparticles in microfluidics: Comparison of a discrete element method (DEM) and CFD–DEM coupling method
title_fullStr Aggregation and clogging phenomena of rigid microparticles in microfluidics: Comparison of a discrete element method (DEM) and CFD–DEM coupling method
title_full_unstemmed Aggregation and clogging phenomena of rigid microparticles in microfluidics: Comparison of a discrete element method (DEM) and CFD–DEM coupling method
title_short Aggregation and clogging phenomena of rigid microparticles in microfluidics: Comparison of a discrete element method (DEM) and CFD–DEM coupling method
title_sort aggregation and clogging phenomena of rigid microparticles in microfluidics: comparison of a discrete element method (dem) and cfd–dem coupling method
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6190999/
https://www.ncbi.nlm.nih.gov/pubmed/30393471
http://dx.doi.org/10.1007/s10404-018-2124-7
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