EconPapers    
Economics at your fingertips  
 

Finite volume approximation of multidimensional aggregation population balance equation on triangular grid

Mehakpreet Singh, Randhir Singh, Sukhjit Singh, Gagandeep Singh and Gavin Walker

Mathematics and Computers in Simulation (MATCOM), 2020, vol. 172, issue C, 191-212

Abstract: The present work shows the first ever implementation of two-order moments conserving finite volume scheme (FVS) for approximating a multidimensional aggregation population balance equations (PBE’s) on a structured triangular grid. This scheme is based on preservation of the zeroth and conservation of the first order moments. Our main aim is to demonstrate the ability of the FVS to adapt the structured triangular grid well, hence, improves the accuracy of number density function as well as various order moments. The numerical results obtained by the FVS on a triangular grid are compared with the cell average technique. The comparison is also enhanced to illustrate that the FVS with a triangular grid provides the numerical results with higher precision and at lesser computational time as compared to the FVS with a rectangular grid. Additionally, we also study the mixing state of a bicomponent population of clusters (granules) characterized by the normalized variance of excess solute, χ, a parameter that measures the deviation of the composition of each granule from the overall mean. It is shown that the accuracy of the total variance of the excess solute improves when a triangular grid is used in place of a rectangular grid.

Keywords: Aggregation; Finite volume scheme; Cell average technique; Triangular grid; Bicomponent moments (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475419303556
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:172:y:2020:i:c:p:191-212

DOI: 10.1016/j.matcom.2019.12.009

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:matcom:v:172:y:2020:i:c:p:191-212