An extended cell-average technique for a multi-dimensional population balance of granulation describing aggregation and breakage

Anwesha Chaudhury, Avi Kapadia, Anuj V. Prakash, Dana Barrasso, Rohit Ramachandran

Research output: Contribution to journalArticle

24 Scopus citations

Abstract

This paper focuses on obtaining the numerical solution to a three-dimensional population balance model (PBM) of granulation using the cell-average technique first proposed by [22]. Conventionally, linear grids are used for the solution of PBMs, but the ability to incorporate non-linear grids would be more advantageous given that a larger size range can be covered using fewer number of grids, thus reducing computational overhead. Furthermore, the use of linear representation of grids in PBMs to represent industrial granulation processes that span a wide granule size range is computationally prohibitive and results show that a non-linear grid representation is computationally more efficient with comparable accuracy. Parallelization of the PBM via a multi-core strategy has also been incorporated in order to reduce the simulation time of the model. Incorporating the cell average technique along with parallelization of the overall model lends credence to the overall use of the model for effective granulation process design and analysis.

Original languageEnglish (US)
Pages (from-to)962-971
Number of pages10
JournalAdvanced Powder Technology
Volume24
Issue number6
DOIs
Publication statusPublished - Nov 1 2013

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All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Mechanics of Materials

Keywords

  • Aggregation
  • Breakage
  • Cell-average
  • Granulation
  • Multi-dimensional population balance model

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