Euler–Lagrange Modeling of Bubbles Formation in Supersaturated Water

Phase transition, and more specifically bubble formation, plays an important role in many industrial applications, where bubbles are formed as a consequence of reaction such as in electrolytic processes or fermentation. Predictive tools, such as numerical models, are thus required to study, design o...

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Main Authors:	Alessandro Battistella, Sander S. C. Aelen, Ivo Roghair, Martin van Sint Annaland
Format:	Article
Language:	English
Published:	MDPI AG 2018-08-01
Series:	ChemEngineering
Subjects:	CFD Euler–Lagrange bubble column phase transition supersaturation
Online Access:	http://www.mdpi.com/2305-7084/2/3/39

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spelling	doaj-d20e8b649fd241f2ab05083fec0fd2832020-11-24T21:32:39ZengMDPI AGChemEngineering2305-70842018-08-01233910.3390/chemengineering2030039chemengineering2030039Euler–Lagrange Modeling of Bubbles Formation in Supersaturated WaterAlessandro Battistella0Sander S. C. Aelen1Ivo Roghair2Martin van Sint Annaland3Chemical Process Intensification, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, 5612AE Eindhoven, The NetherlandsChemical Process Intensification, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, 5612AE Eindhoven, The NetherlandsChemical Process Intensification, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, 5612AE Eindhoven, The NetherlandsChemical Process Intensification, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, 5612AE Eindhoven, The NetherlandsPhase transition, and more specifically bubble formation, plays an important role in many industrial applications, where bubbles are formed as a consequence of reaction such as in electrolytic processes or fermentation. Predictive tools, such as numerical models, are thus required to study, design or optimize these processes. This paper aims at providing a meso-scale modelling description of gas–liquid bubbly flows including heterogeneous bubble nucleation using a Discrete Bubble Model (DBM), which tracks each bubble individually and which has been extended to include phase transition. The model is able to initialize gas pockets (as spherical bubbles) representing randomly generated conical nucleation sites, which can host, grow and detach a bubble. To demonstrate its capabilities, the model was used to study the formation of bubbles on a surface as a result of supersaturation. A higher supersaturation results in a faster rate of nucleation, which means more bubbles in the column. A clear depletion effect could be observed during the initial growth of the bubbles, due to insufficient mixing.http://www.mdpi.com/2305-7084/2/3/39CFDEuler–Lagrangebubble columnphase transitionsupersaturation
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Alessandro Battistella Sander S. C. Aelen Ivo Roghair Martin van Sint Annaland
spellingShingle	Alessandro Battistella Sander S. C. Aelen Ivo Roghair Martin van Sint Annaland Euler–Lagrange Modeling of Bubbles Formation in Supersaturated Water ChemEngineering CFD Euler–Lagrange bubble column phase transition supersaturation
author_facet	Alessandro Battistella Sander S. C. Aelen Ivo Roghair Martin van Sint Annaland
author_sort	Alessandro Battistella
title	Euler–Lagrange Modeling of Bubbles Formation in Supersaturated Water
title_short	Euler–Lagrange Modeling of Bubbles Formation in Supersaturated Water
title_full	Euler–Lagrange Modeling of Bubbles Formation in Supersaturated Water
title_fullStr	Euler–Lagrange Modeling of Bubbles Formation in Supersaturated Water
title_full_unstemmed	Euler–Lagrange Modeling of Bubbles Formation in Supersaturated Water
title_sort	euler–lagrange modeling of bubbles formation in supersaturated water
publisher	MDPI AG
series	ChemEngineering
issn	2305-7084
publishDate	2018-08-01
description	Phase transition, and more specifically bubble formation, plays an important role in many industrial applications, where bubbles are formed as a consequence of reaction such as in electrolytic processes or fermentation. Predictive tools, such as numerical models, are thus required to study, design or optimize these processes. This paper aims at providing a meso-scale modelling description of gas–liquid bubbly flows including heterogeneous bubble nucleation using a Discrete Bubble Model (DBM), which tracks each bubble individually and which has been extended to include phase transition. The model is able to initialize gas pockets (as spherical bubbles) representing randomly generated conical nucleation sites, which can host, grow and detach a bubble. To demonstrate its capabilities, the model was used to study the formation of bubbles on a surface as a result of supersaturation. A higher supersaturation results in a faster rate of nucleation, which means more bubbles in the column. A clear depletion effect could be observed during the initial growth of the bubbles, due to insufficient mixing.
topic	CFD Euler–Lagrange bubble column phase transition supersaturation
url	http://www.mdpi.com/2305-7084/2/3/39
work_keys_str_mv	AT alessandrobattistella eulerlagrangemodelingofbubblesformationinsupersaturatedwater AT sanderscaelen eulerlagrangemodelingofbubblesformationinsupersaturatedwater AT ivoroghair eulerlagrangemodelingofbubblesformationinsupersaturatedwater AT martinvansintannaland eulerlagrangemodelingofbubblesformationinsupersaturatedwater
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Euler–Lagrange Modeling of Bubbles Formation in Supersaturated Water

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