Skip to main navigation Skip to search Skip to main content

Assessment of PIV performance in validating CFD models from nasal cavity CBCT scans

Research output: Contribution to journal › Article › Scientific › peer-review

10 Citations (Scopus)

Abstract

Objective: The aim of our study was to investigate how well Particle Image Velocimetry (PIV) measurements could serve Computational Fluid Dynamics (CFD) model validation for nasal airflow.

Material and methods: For the PIV measurements, a silicone model of the nose based on cone beam computed tomography (CBCT) scans of a patient was made. Corresponding CFD calculations were conducted with laminar and two turbulent models (k-ω and k-ω SST).

Results: CFD and PIV results corresponded well in our study. Especially, the correspondence of CFD calculations between the laminar and turbulent models was found to be even stronger. When comparing CFD with PIV, we found that the results were most convergent in the wider parts of the nasal cavities.

Conclusion: PIV measurements in realistically modelled nasal cavities succeed acceptably and CFD calculations produce corresponding results with PIV measurements. Greater model scaling is, however, necessary for better validations with PIV and comparisons of competing CFD models.

Original languageEnglish
Article number103508
Pages (from-to)103508
Number of pages9
JournalRespiratory Physiology and Neurobiology
Volume282
DOIs
Publication statusPublished - 2020
Publication typeA1 Journal article-refereed

Funding

The author(s) received financial support from the Finnish ORL-HNS Foundation , Orion Research Foundation sr , Tampere Tuberculosis Foundation , and the Väinö and Laina Kivi Foundation for the research, authorship, and/or publication of this article.

Keywords

  • 3D silicone modelling
  • CBCT
  • CFD
  • PIV
  • nasal airflow

Publication forum classification

  • Publication forum level 1

Fingerprint

Dive into the research topics of 'Assessment of PIV performance in validating CFD models from nasal cavity CBCT scans'. Together they form a unique fingerprint.

Cite this