Variational iteration method and projection method solution of the spatially distributed population balance equation

In this work, two major hydrodynamic parameters, the holdup of the dispersed phase and the Sauter diameter, are considered. This is done for describing the hydrodynamics of interacting liquid–liquid dispersions using different particle breakage, coalescence and growth models in a particle population...

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Main Authors: Abdelmalek Hasseine, Khaled Athmani, Hans Joerg Bart
Format: Article
Language:English
Published: Taylor & Francis Group 2018-09-01
Series:Arab Journal of Basic and Applied Sciences
Subjects:
Online Access:http://dx.doi.org/10.1080/25765299.2018.1517485
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spelling doaj-d8002c921e384d6fa11f3d08c52ce3c72020-11-25T03:37:33ZengTaylor & Francis GroupArab Journal of Basic and Applied Sciences2576-52992018-09-0125313214110.1080/25765299.2018.15174851517485Variational iteration method and projection method solution of the spatially distributed population balance equationAbdelmalek Hasseine0Khaled Athmani1Hans Joerg Bart2Laboratory LAR-GHYDE, University of BiskraLaboratory LAR-GHYDE, University of BiskraChair of Separation Science and Technology, Center for Mathematical Modeling, Kaiserslautern UniversityIn this work, two major hydrodynamic parameters, the holdup of the dispersed phase and the Sauter diameter, are considered. This is done for describing the hydrodynamics of interacting liquid–liquid dispersions using different particle breakage, coalescence and growth models in a particle population balance model. Based on the semi-analytical solution method of the population balance, namely, the variational iteration method (VIM), different process cases have been performed, and it is possible to find the exact solution or a closed approximate solution of a problem. For the simultaneous growth and coalescence terms comparisons between the present method and projection method which include discontinuous Galerkin and collocation techniques are made, respectively. The VIM technique overcomes the difficulties of discretization of the variables, introduces an efficient algorithm that improves the standard discretization method and is able to handle quite successful these process of population balance equations. The results are encouraging and the new method has proven to be suitable to predict holdup and Sauter diameter profiles.http://dx.doi.org/10.1080/25765299.2018.1517485population balance modelsvariational iteration methodprojection method
collection DOAJ
language English
format Article
sources DOAJ
author Abdelmalek Hasseine
Khaled Athmani
Hans Joerg Bart
spellingShingle Abdelmalek Hasseine
Khaled Athmani
Hans Joerg Bart
Variational iteration method and projection method solution of the spatially distributed population balance equation
Arab Journal of Basic and Applied Sciences
population balance models
variational iteration method
projection method
author_facet Abdelmalek Hasseine
Khaled Athmani
Hans Joerg Bart
author_sort Abdelmalek Hasseine
title Variational iteration method and projection method solution of the spatially distributed population balance equation
title_short Variational iteration method and projection method solution of the spatially distributed population balance equation
title_full Variational iteration method and projection method solution of the spatially distributed population balance equation
title_fullStr Variational iteration method and projection method solution of the spatially distributed population balance equation
title_full_unstemmed Variational iteration method and projection method solution of the spatially distributed population balance equation
title_sort variational iteration method and projection method solution of the spatially distributed population balance equation
publisher Taylor & Francis Group
series Arab Journal of Basic and Applied Sciences
issn 2576-5299
publishDate 2018-09-01
description In this work, two major hydrodynamic parameters, the holdup of the dispersed phase and the Sauter diameter, are considered. This is done for describing the hydrodynamics of interacting liquid–liquid dispersions using different particle breakage, coalescence and growth models in a particle population balance model. Based on the semi-analytical solution method of the population balance, namely, the variational iteration method (VIM), different process cases have been performed, and it is possible to find the exact solution or a closed approximate solution of a problem. For the simultaneous growth and coalescence terms comparisons between the present method and projection method which include discontinuous Galerkin and collocation techniques are made, respectively. The VIM technique overcomes the difficulties of discretization of the variables, introduces an efficient algorithm that improves the standard discretization method and is able to handle quite successful these process of population balance equations. The results are encouraging and the new method has proven to be suitable to predict holdup and Sauter diameter profiles.
topic population balance models
variational iteration method
projection method
url http://dx.doi.org/10.1080/25765299.2018.1517485
work_keys_str_mv AT abdelmalekhasseine variationaliterationmethodandprojectionmethodsolutionofthespatiallydistributedpopulationbalanceequation
AT khaledathmani variationaliterationmethodandprojectionmethodsolutionofthespatiallydistributedpopulationbalanceequation
AT hansjoergbart variationaliterationmethodandprojectionmethodsolutionofthespatiallydistributedpopulationbalanceequation
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