Numerical simulation of airflow and microparticle deposition in a synchrotron micro-CT-based pulmonary acinus model

Toshihiro Sera, Kentaro Uesugi, Naoto Yagi, Hideo Yokota

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

The acinus consists of complex, branched alveolar ducts and numerous surrounding alveoli, and so in this study, we hypothesized that the particle deposition can be much influenced by the complex acinar geometry, and simulated the airflow and particle deposition (density = 1.0 g/cm3, diameter = 1 and 3 μm) numerically in a pulmonary acinar model based on synchrotron micro-CT of the mammalian lung. We assumed that the fluid–structure interaction was neglected and that alveolar flow was induced by the expansion and contraction of the acinar model with the volume changing sinusoidally with time as the moving boundary conditions. The alveolar flow was dominated by radial flows, and a weak recirculating flow was observed at the proximal side of alveoli during the entire respiratory cycle, despite the maximum Reynolds number at the inlet being 0.029. Under zero gravity, the particle deposition rate after single breathing was less than 0.01, although the particles were transported deeply into the acinus after inspiration. Under a gravitational field, the deposition rate and map were influenced strongly by gravity orientation. In the case of a particle diameter of 1 μm, the rate increased dramatically and mostly non-deposited particles remained in the model, indicating that the rate would increase further after repeated breathing. At a particle diameter of 3 μm, the rate was 1.0 and all particles were deposited during single breathing. Our results show that the particle deposition rate in realistic pulmonary acinar model is higher than in an idealized model.

Original languageEnglish
Pages (from-to)1427-1435
Number of pages9
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume18
Issue number13
DOIs
Publication statusPublished - Oct 3 2015
Externally publishedYes

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications

Cite this