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Finite volume approximation of nonlinear agglomeration population balance equation on triangular grid
Singh, Mehakpreet; Ismail, Hamza Y.; Singh, Randhir; Albadarin, Ahmad B.; Walker, Gavin M.
The full text of this article will not be available in ULIR until the embargo expires on the 23/07/2021 In this present work, a finite volume scheme for approximating a multidimensional nonlinear agglomeration population balance equation on a regular triangular grid is developed. The finite volume schemes developed in literature are restricted to a rectangular grid [43]. However, the accuracy and efficiency of finite volume scheme can be enhanced by considering triangular grids. The triangular grid is generated using the concept of â Voronoi Partitioningâ and â Delaunay Triangulationâ . To test the accuracy and efficiency of the scheme on a triangular grid, the numerical results are compared with the sectional method, namely Cell Average Technique [38] for various analytically tractable kernels. The results reveal that the finite volume scheme on a triangular grid is computationally less expensive and predicts the number density function along with the different order moments more accurately than the cell average technique. Furthermore, the numerical comparison is extended by comparing the finite volume scheme on a rectangular grid. It also demonstrates that the finite volume scheme with a regular triangular grid computes the numerical results more accurately and efficiently than the finite volume scheme with a rectangular grid. ACCEPTED peer-reviewed
Keyword(s): agglomeration; cell average technique; finite volume scheme; moments; nonlinear integro-partial differential equation; regular triangular grid
Publication Date:
2019
Type: Journal article
Peer-Reviewed: Yes
Language(s): English
Institution: University of Limerick
Citation(s): Journal of Aerosol Science;137, 105430
https://doi.org/10.1016/j.jaerosci.2019.105430
841906
Publisher(s): Elsevier
First Indexed: 2020-04-02 07:21:33 Last Updated: 2020-04-02 07:21:33