Numerical modelling of agglomeration and deagglomeration in dry powder inhalers: A review

Jiecheng Yang, Chuan Yu Wu*, Michael Adams

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Numerical modelling using computational fluid mechanics (CFD) and discrete element method (DEM) becomes increasingly prevalent for the exploration of agglomeration and deagglomeration in dry powder inhalers (DPIs). These techniques provide detailed information on air flow and particle-particle/wall interaction, respectively. Coupling of CFD and DEM enables an in-depth investigation of the mechanisms at the microscopic level. This paper reviews the applications of CFD and DEM in DPI development and optimisation. The recent progress in modelling of two key processes in DPIs, i.e. agglomeration and deagglomeration, is presented. It has been demonstrated that DEM-CFD is a promising numerical approach to investigate the underlying agglomeration and deagglomeration mechanisms for DPIs. With further advances in computing capacity, it is expected that DEM-CFD will be capable of addressing more realistic and complicated issues in DPI improvement.

Original languageEnglish
Pages (from-to)5915-5922
Number of pages8
JournalCurrent pharmaceutical design
Volume21
Issue number40
DOIs
Publication statusPublished - 1 Jan 2015

Bibliographical note

Publisher Copyright:
© 2015 Bentham Science Publishers.

Keywords

  • Agglomeration
  • Computational fluid mechanics
  • Deagglomeration
  • DEM-CFD
  • Discrete element method
  • Dry powder inhaler

ASJC Scopus subject areas

  • Pharmacology
  • Drug Discovery

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