Development of an effective two-equation turbulence modeling approach for simulating aerosol deposition across a range of turbulence levels.

Aerosol Air-jet DPI CFD Particle deposition Preterm infant Respiratory drug delivery Turbulence

Journal

Journal of aerosol science
ISSN: 0021-8502
Titre abrégé: J Aerosol Sci
Pays: England
ID NLM: 1263115

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 21 07 2023
revised: 25 08 2023
accepted: 28 08 2023
medline: 2 1 2024
pubmed: 2 1 2024
entrez: 2 1 2024
Statut: ppublish

Résumé

Pharmaceutical aerosol systems present a significant challenge to computational fluid dynamics (CFD) modeling based on the need to capture multiple levels of turbulence, frequent transition between laminar and turbulent flows, anisotropic turbulent particle dispersion, and near-wall particle transport phenomena often within geometrically complex systems over multiple time scales. Two-equation turbulence models, such as the

Identifiants

pubmed: 38164243
doi: 10.1016/j.jaerosci.2023.106262
pii: S0021-8502(23)00127-1
pmc: PMC10698304
doi:

Types de publication

Journal Article

Langues

eng

Pagination

106262

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

Virginia Commonwealth University is currently pursuing patent protection of DPI devices, patient interfaces and dry powder formulations described in this study, which if licensed and commercialized, may provide a future financial interest to the authors. WL is a member of the Journal of Aerosol Science Editorial Board.

Auteurs

Hasan Jubaer (H)

Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, 401 West Main Street, P.O. Box 843015, Richmond, VA, 23284-3015, USA.

Morgan Thomas (M)

Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, 401 West Main Street, P.O. Box 843015, Richmond, VA, 23284-3015, USA.

Dale Farkas (D)

Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, 401 West Main Street, P.O. Box 843015, Richmond, VA, 23284-3015, USA.

Arun V Kolanjiyil (AV)

Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, 401 West Main Street, P.O. Box 843015, Richmond, VA, 23284-3015, USA.

Mohammad A M Momin (MAM)

Department of Pharmaceutics, Virginia Commonwealth University, Richmond, VA, USA.

Michael Hindle (M)

Department of Pharmaceutics, Virginia Commonwealth University, Richmond, VA, USA.

Worth Longest (W)

Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, 401 West Main Street, P.O. Box 843015, Richmond, VA, 23284-3015, USA.
Department of Pharmaceutics, Virginia Commonwealth University, Richmond, VA, USA.

Classifications MeSH