Numerical Simulation of Bubble Coalescence and Break-Up in Multinozzle Jet Ejector

Designing the jet ejector optimally is a challenging task and has a great impact on industrial applications. Three different sets of nozzles (namely, 1, 3, and 5) inside the jet ejector are compared in this study by using numerical simulations. More precisely, dynamics of bubble coalescence and brea...

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Main Authors: Dhanesh Patel, Ashvinkumar Chaudhari, Arto Laari, Matti Heiliö, Jari Hämäläinen, Kishorilal Agrawal
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2016/5238737
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author Dhanesh Patel
Ashvinkumar Chaudhari
Arto Laari
Matti Heiliö
Jari Hämäläinen
Kishorilal Agrawal
author_facet Dhanesh Patel
Ashvinkumar Chaudhari
Arto Laari
Matti Heiliö
Jari Hämäläinen
Kishorilal Agrawal
author_sort Dhanesh Patel
collection DOAJ
description Designing the jet ejector optimally is a challenging task and has a great impact on industrial applications. Three different sets of nozzles (namely, 1, 3, and 5) inside the jet ejector are compared in this study by using numerical simulations. More precisely, dynamics of bubble coalescence and breakup in the multinozzle jet ejectors are studied by means of Computational Fluid Dynamics (CFD). The population balance approach is used for the gas phase such that different bubble size groups are included in CFD and the number densities of each of them are predicted in CFD simulations. Here, commercial CFD software ANSYS Fluent 14.0 is used. The realizable k-ε turbulence model is used in CFD code in three-dimensional computational domains. It is clear that Reynolds-Averaged Navier-Stokes (RANS) models have their limitations, but on the other hand, turbulence modeling is not the key issue in this study and we can assume that the RANS models can predict turbulence of the carrying phase accurately enough. In order to validate our numerical predictions, results of one, three, and five nozzles are compared to laboratory experiments data for Cl2-NaOH system. Predicted gas volume fractions, bubble size distributions, and resulting number densities of the different bubble size groups as well as the interfacial area concentrations are in good agreement with experimental results.
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institution Kabale University
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spelling doaj-art-a253ad635c214f75bde60ad0f415903c2025-02-03T05:44:02ZengWileyJournal of Applied Mathematics1110-757X1687-00422016-01-01201610.1155/2016/52387375238737Numerical Simulation of Bubble Coalescence and Break-Up in Multinozzle Jet EjectorDhanesh Patel0Ashvinkumar Chaudhari1Arto Laari2Matti Heiliö3Jari Hämäläinen4Kishorilal Agrawal5Centre for Industrial Mathematics and Department of Applied Mathematics, Faculty of Technology and Engineering, The M. S. University of Baroda, Vadodara, Gujarat 390001, IndiaCentre of Computational Engineering and Integrated Design (CEID), Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, FinlandDepartment of Chemistry, Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, FinlandDepartment of Mathematics and Physics, Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, FinlandCentre of Computational Engineering and Integrated Design (CEID), Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, FinlandDepartment of Chemical Engineering, Faculty of Technology and Engineering, The M. S. University of Baroda, Vadodara, Gujarat 390001, IndiaDesigning the jet ejector optimally is a challenging task and has a great impact on industrial applications. Three different sets of nozzles (namely, 1, 3, and 5) inside the jet ejector are compared in this study by using numerical simulations. More precisely, dynamics of bubble coalescence and breakup in the multinozzle jet ejectors are studied by means of Computational Fluid Dynamics (CFD). The population balance approach is used for the gas phase such that different bubble size groups are included in CFD and the number densities of each of them are predicted in CFD simulations. Here, commercial CFD software ANSYS Fluent 14.0 is used. The realizable k-ε turbulence model is used in CFD code in three-dimensional computational domains. It is clear that Reynolds-Averaged Navier-Stokes (RANS) models have their limitations, but on the other hand, turbulence modeling is not the key issue in this study and we can assume that the RANS models can predict turbulence of the carrying phase accurately enough. In order to validate our numerical predictions, results of one, three, and five nozzles are compared to laboratory experiments data for Cl2-NaOH system. Predicted gas volume fractions, bubble size distributions, and resulting number densities of the different bubble size groups as well as the interfacial area concentrations are in good agreement with experimental results.http://dx.doi.org/10.1155/2016/5238737
spellingShingle Dhanesh Patel
Ashvinkumar Chaudhari
Arto Laari
Matti Heiliö
Jari Hämäläinen
Kishorilal Agrawal
Numerical Simulation of Bubble Coalescence and Break-Up in Multinozzle Jet Ejector
Journal of Applied Mathematics
title Numerical Simulation of Bubble Coalescence and Break-Up in Multinozzle Jet Ejector
title_full Numerical Simulation of Bubble Coalescence and Break-Up in Multinozzle Jet Ejector
title_fullStr Numerical Simulation of Bubble Coalescence and Break-Up in Multinozzle Jet Ejector
title_full_unstemmed Numerical Simulation of Bubble Coalescence and Break-Up in Multinozzle Jet Ejector
title_short Numerical Simulation of Bubble Coalescence and Break-Up in Multinozzle Jet Ejector
title_sort numerical simulation of bubble coalescence and break up in multinozzle jet ejector
url http://dx.doi.org/10.1155/2016/5238737
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