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Cited by 380

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Airflow and Particle Transport in the Human Respiratory System

Kleinstreuer, C., Zhang, Z.·2010·Annual Review of Fluid Mechanics

Abstract

Airflows in the nasal cavities and oral airways are rather complex, possibly featuring a transition to turbulent jet-like flow, recirculating flow, Dean's flow, vortical flows, large pressure drops, prevailing secondary flows, and merging streams in the case of exhalation. Such complex flows propagate subsequently into the tracheobronchial airways. The underlying assumptions for particle transport and deposition are that the aerosols are spherical, noninteracting, and monodisperse and deposit upon contact with the airway surface. Such dilute particle suspensions are typically modeled with the Euler-Lagrange approach for micron particles and in the Euler-Euler framework for nanoparticles. Micron particles deposit nonuniformly with very high concentrations at some local sites (e.g., carinal ridges of large bronchial airways). In contrast, nanomaterial almost coats the airway surfaces, which has implications of detrimental health effects in the case of inhaled toxic nanoparticles. Geometric airway features, as well as histories of airflow fields and particle distributions, may significantly affect particle deposition.

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Metadata

Authors
Kleinstreuer, C., & Zhang, Z.
Venue
Annual Review of Fluid Mechanics
Published
2010-01-01
Volume
42
Issue
1
Pages
301-334
ISSN
  • 0066-4189 (ISSN-L)
  • 1545-4479
OpenAlex
W2132858909
Cited by
380
References
1
FWCI
1.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Airflow and Particle Transport in the Human Respiratory System. https://app.cochat.ai/papers/10.1146/annurev-fluid-121108-145453
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Kleinstreuer, C., & Zhang, Z. (2010). Airflow and Particle Transport in the Human Respiratory System. Annual Review of Fluid Mechanics. https://doi.org/10.1146/annurev-fluid-121108-145453

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.