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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Online Access: | http://dx.doi.org/10.1080/25765299.2018.1517485 |
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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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1724545389293469696 |