Cargando…
In vitro–in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model
There exists an ongoing need to improve the validity and accuracy of computational fluid dynamics (CFD) simulations of turbulent airflows in the extra-thoracic and upper airways. Yet, a knowledge gap remains in providing experimentally-resolved 3D flow benchmarks with sufficient data density and com...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072468/ https://www.ncbi.nlm.nih.gov/pubmed/36952557 http://dx.doi.org/10.1371/journal.pcbi.1010537 |
_version_ | 1785019388074655744 |
---|---|
author | Nof, Eliram Bhardwaj, Saurabh Koullapis, Pantelis Bessler, Ron Kassinos, Stavros Sznitman, Josué |
author_facet | Nof, Eliram Bhardwaj, Saurabh Koullapis, Pantelis Bessler, Ron Kassinos, Stavros Sznitman, Josué |
author_sort | Nof, Eliram |
collection | PubMed |
description | There exists an ongoing need to improve the validity and accuracy of computational fluid dynamics (CFD) simulations of turbulent airflows in the extra-thoracic and upper airways. Yet, a knowledge gap remains in providing experimentally-resolved 3D flow benchmarks with sufficient data density and completeness for useful comparison with widely-employed numerical schemes. Motivated by such shortcomings, the present work details to the best of our knowledge the first attempt to deliver in vitro–in silico correlations of 3D respiratory airflows in a generalized mouth-throat model and thereby assess the performance of Large Eddy Simulations (LES) and Reynolds-Averaged Numerical Simulations (RANS). Numerical predictions are compared against 3D volumetric flow measurements using Tomographic Particle Image Velocimetry (TPIV) at three steady inhalation flowrates varying from shallow to deep inhalation conditions. We find that a RANS k-ω SST model adequately predicts velocity flow patterns for Reynolds numbers spanning 1’500 to 7’000, supporting results in close proximity to a more computationally-expensive LES model. Yet, RANS significantly underestimates turbulent kinetic energy (TKE), thus underlining the advantages of LES as a higher-order turbulence modeling scheme. In an effort to bridge future endevours across respiratory research disciplines, we provide end users with the present in vitro–in silico correlation data for improved predictive CFD models towards inhalation therapy and therapeutic or toxic dosimetry endpoints. |
format | Online Article Text |
id | pubmed-10072468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100724682023-04-05 In vitro–in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model Nof, Eliram Bhardwaj, Saurabh Koullapis, Pantelis Bessler, Ron Kassinos, Stavros Sznitman, Josué PLoS Comput Biol Research Article There exists an ongoing need to improve the validity and accuracy of computational fluid dynamics (CFD) simulations of turbulent airflows in the extra-thoracic and upper airways. Yet, a knowledge gap remains in providing experimentally-resolved 3D flow benchmarks with sufficient data density and completeness for useful comparison with widely-employed numerical schemes. Motivated by such shortcomings, the present work details to the best of our knowledge the first attempt to deliver in vitro–in silico correlations of 3D respiratory airflows in a generalized mouth-throat model and thereby assess the performance of Large Eddy Simulations (LES) and Reynolds-Averaged Numerical Simulations (RANS). Numerical predictions are compared against 3D volumetric flow measurements using Tomographic Particle Image Velocimetry (TPIV) at three steady inhalation flowrates varying from shallow to deep inhalation conditions. We find that a RANS k-ω SST model adequately predicts velocity flow patterns for Reynolds numbers spanning 1’500 to 7’000, supporting results in close proximity to a more computationally-expensive LES model. Yet, RANS significantly underestimates turbulent kinetic energy (TKE), thus underlining the advantages of LES as a higher-order turbulence modeling scheme. In an effort to bridge future endevours across respiratory research disciplines, we provide end users with the present in vitro–in silico correlation data for improved predictive CFD models towards inhalation therapy and therapeutic or toxic dosimetry endpoints. Public Library of Science 2023-03-23 /pmc/articles/PMC10072468/ /pubmed/36952557 http://dx.doi.org/10.1371/journal.pcbi.1010537 Text en © 2023 Nof et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Nof, Eliram Bhardwaj, Saurabh Koullapis, Pantelis Bessler, Ron Kassinos, Stavros Sznitman, Josué In vitro–in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model |
title | In vitro–in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model |
title_full | In vitro–in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model |
title_fullStr | In vitro–in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model |
title_full_unstemmed | In vitro–in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model |
title_short | In vitro–in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model |
title_sort | in vitro–in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072468/ https://www.ncbi.nlm.nih.gov/pubmed/36952557 http://dx.doi.org/10.1371/journal.pcbi.1010537 |
work_keys_str_mv | AT nofeliram invitroinsilicocorrelationofthreedimensionalturbulentflowsinanidealizedmouththroatmodel AT bhardwajsaurabh invitroinsilicocorrelationofthreedimensionalturbulentflowsinanidealizedmouththroatmodel AT koullapispantelis invitroinsilicocorrelationofthreedimensionalturbulentflowsinanidealizedmouththroatmodel AT besslerron invitroinsilicocorrelationofthreedimensionalturbulentflowsinanidealizedmouththroatmodel AT kassinosstavros invitroinsilicocorrelationofthreedimensionalturbulentflowsinanidealizedmouththroatmodel AT sznitmanjosue invitroinsilicocorrelationofthreedimensionalturbulentflowsinanidealizedmouththroatmodel |