DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17608
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKumar, Rajesh-
dc.date.accessioned2025-02-12T07:07:12Z-
dc.date.available2025-02-12T07:07:12Z-
dc.date.issued2024-09-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0960077924007811?via%3Dihub-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17608-
dc.description.abstractIn modern liquid–liquid contact components, there is an increasing use of droplet population balance models. These components include differential and completely mixed contractors. These models aim to explain the complex hydrodynamic processes occurring in the dispersion phase. The hydrodynamics of these interacting dispersions include droplet breaking, coalescence, axial dispersion, and both entry and exit events. The resulting equations for population balance are represented as integro-partial differential equations, which rarely have analytical solutions, especially when spatial dependency is apparent. Consequently, the pursuit predominantly lies in seeking numerical solutions to resolve these complex equations. In this study, we have devised analytical solutions for inhomogeneous breakage and coagulation by employing the population balance equation (PBEs) applicable to both batch and continuous flow systems. The innovative approaches for solving PBEs in these systems leverage the Adomian decomposition method (ADM) and the homotopy analysis method (HAM). These semi-analytical methodologies effectively tackle the significant challenges related to numerical discretization and stability, which have often plagued previous solutions of the homogeneous PBEs. Our findings across all test examples demonstrate that the approximated particle size distributions utilizing these two methods converge to the analytical solutions continuously.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectMathematicsen_US
dc.subjectPopulation balance modelen_US
dc.subjectSemi-analytical techniquesen_US
dc.subjectOptimized decomposition methoden_US
dc.subjectHomotopy analysis method (HAM)en_US
dc.titleAn analytical treatment to spatially inhomogeneous population balance modelen_US
dc.typeArticleen_US
Appears in Collections:Department of Mathematics

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.