An extension of the multiple marker algorithm for study of phase separation problems at the mesoscale

Multiphase fluid flow is an active field of research in numerous branches of science and technology. An interesting subset of multiphase flow problems involves the dispersion of one phase into another in the form of many small bubbles or droplets, and their subsequent separation back into bulk phase...

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Autores principales:	Reynolds Quinn G., Oxtoby Oliver F., Erwee Markus W., Bezuidenhout Pieter J.A.
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/d916cbab74e54b748f0b6444447884d4
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spelling	oai:doaj.org-article:d916cbab74e54b748f0b6444447884d42021-12-02T17:13:35ZAn extension of the multiple marker algorithm for study of phase separation problems at the mesoscale2261-236X10.1051/matecconf/202134700025https://doaj.org/article/d916cbab74e54b748f0b6444447884d42021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/16/matecconf_sacam21_00025.pdfhttps://doaj.org/toc/2261-236XMultiphase fluid flow is an active field of research in numerous branches of science and technology. An interesting subset of multiphase flow problems involves the dispersion of one phase into another in the form of many small bubbles or droplets, and their subsequent separation back into bulk phases after this has occurred. Phase dispersion may be a desirable effect, for example in the production of emulsions of otherwise immiscible liquids or to increase interfacial surface area for chemical reactions, or an undesirable one, for example in the intermixing of waste and product phases during processing or the generation of foams preventing gas-liquid decoupling. The present paper describes a computational fluid dynamics method based on the multiple marker front-capturing algorithm – itself an extension of the volume-of-fluids method for multiphase flow – which is capable of scaling to mesoscale systems involving thousands of droplets or bubbles. The method includes sub-grid models for solution of the Reynolds equation to account for thin film dynamics and rupture. The method is demonstrated with an implementation in the OpenFOAM® computational mechanics framework. Comparisons against empirical data are presented, together with a performance benchmarking study and example applications.Reynolds Quinn G.Oxtoby Oliver F.Erwee Markus W.Bezuidenhout Pieter J.A.EDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 347, p 00025 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Reynolds Quinn G. Oxtoby Oliver F. Erwee Markus W. Bezuidenhout Pieter J.A. An extension of the multiple marker algorithm for study of phase separation problems at the mesoscale
description	Multiphase fluid flow is an active field of research in numerous branches of science and technology. An interesting subset of multiphase flow problems involves the dispersion of one phase into another in the form of many small bubbles or droplets, and their subsequent separation back into bulk phases after this has occurred. Phase dispersion may be a desirable effect, for example in the production of emulsions of otherwise immiscible liquids or to increase interfacial surface area for chemical reactions, or an undesirable one, for example in the intermixing of waste and product phases during processing or the generation of foams preventing gas-liquid decoupling. The present paper describes a computational fluid dynamics method based on the multiple marker front-capturing algorithm – itself an extension of the volume-of-fluids method for multiphase flow – which is capable of scaling to mesoscale systems involving thousands of droplets or bubbles. The method includes sub-grid models for solution of the Reynolds equation to account for thin film dynamics and rupture. The method is demonstrated with an implementation in the OpenFOAM® computational mechanics framework. Comparisons against empirical data are presented, together with a performance benchmarking study and example applications.
format	article
author	Reynolds Quinn G. Oxtoby Oliver F. Erwee Markus W. Bezuidenhout Pieter J.A.
author_facet	Reynolds Quinn G. Oxtoby Oliver F. Erwee Markus W. Bezuidenhout Pieter J.A.
author_sort	Reynolds Quinn G.
title	An extension of the multiple marker algorithm for study of phase separation problems at the mesoscale
title_short	An extension of the multiple marker algorithm for study of phase separation problems at the mesoscale
title_full	An extension of the multiple marker algorithm for study of phase separation problems at the mesoscale
title_fullStr	An extension of the multiple marker algorithm for study of phase separation problems at the mesoscale
title_full_unstemmed	An extension of the multiple marker algorithm for study of phase separation problems at the mesoscale
title_sort	extension of the multiple marker algorithm for study of phase separation problems at the mesoscale
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/d916cbab74e54b748f0b6444447884d4
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An extension of the multiple marker algorithm for study of phase separation problems at the mesoscale

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