Evidence map›Paper›PMID 33575958›Full record

ArticlePharmaceutical research2021

On the Use of Computational Fluid Dynamics (CFD) Modelling to Design Improved Dry Powder Inhalers.

David F Fletcher, Vishal Chaugule, Larissa Gomes Dos Reis, Paul M Young, Daniela Traini, Julio Soria

Abstract read
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Article in Pharmaceutical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

David F FletcherSchool of Chemical and Biomolecular Engineering, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0003-2221-4192
Vishal ChauguleLaboratory for Turbulence Research in Aerospace and Combustion (LTRAC), Department of Mechanical and Aerospace Engineering, Monash University, Clayton Campus, Melbourne, Australia. vishal.chaugule@monash.edu.ORCID http://orcid.org/0000-0002-7184-3852
Larissa Gomes Dos ReisRespiratory Technology, Woolcock Institute of Medical Research and Discipline of Pharmacology, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-5089-6824
Paul M YoungRespiratory Technology, Woolcock Institute of Medical Research and Discipline of Pharmacology, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Daniela TrainiRespiratory Technology, Woolcock Institute of Medical Research and Discipline of Pharmacology, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-7173-017X
Julio SoriaLaboratory for Turbulence Research in Aerospace and Combustion (LTRAC), Department of Mechanical and Aerospace Engineering, Monash University, Clayton Campus, Melbourne, Australia.ORCID http://orcid.org/0000-0002-7089-9686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeComputational Fluid Dynamics (CFD) simulations are performed to investigate the impact of adding a grid to a two-inlet dry powder inhaler (DPI). The purpose of the paper is to show the importance of the correct choice of closure model and modeling approach, as well as to perform validation against particle dispersion data obtained from in-vitro studies and flow velocity data obtained from particle image velocimetry (PIV) experiments.

methodsCFD simulations are performed using the Ansys Fluent 2020R1 software package. Two RANS turbulence models (realisable k - ε and k - ω SST) and the Stress Blended Eddy Simulation (SBES) models are considered. Lagrangian particle tracking for both carrier and fine particles is also performed.

resultsExcellent comparison with the PIV data is found for the SBES approach and the particle tracking data are consistent with the dispersion results, given the simplicity of the assumptions made.

conclusionsThis work shows the importance of selecting the correct turbulence modelling approach and boundary conditions to obtain good agreement with PIV data for the flow-field exiting the device. With this validated, the model can be used with much higher confidence to explore the fluid and particle dynamics within the device.

Indexed as

Administration, InhalationDry Powder InhalersEquipment DesignAerosolsChemistry, PharmaceuticalComputer SimulationHydrodynamicsModels, ChemicalParticle SizePowdersRheologyAerosolsPowdersCFDdry powder inhalerparticle trackingSBESturbulence models

Identifiers

PMID33575958

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.