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Comprehensive experimental and numerical validation of Lattice Boltzmann fluid flow and particle simulations in a child respiratory tract

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F24%3APU150699" target="_blank" >RIV/00216305:26210/24:PU150699 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0010482524000787?dgcid=author#GS3" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0010482524000787?dgcid=author#GS3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.compbiomed.2024.107994" target="_blank" >10.1016/j.compbiomed.2024.107994</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comprehensive experimental and numerical validation of Lattice Boltzmann fluid flow and particle simulations in a child respiratory tract

  • Original language description

    The numerical simulation of inhaled aerosols in medical research starts to play a crucial role in understanding local deposition within the respiratory tract, a feat often unattainable experimentally. Research on children is particularly challenging due to the limited availability of in vivo data and the inherent morphological intricacies. CFD solvers based on Finite Volume Methods (FVM) have been widely employed to solve the flow field in such studies. Recently, Lattice Boltzmann Methods (LBM), a mesoscopic approach, have gained prominence, especially for their scalability on High-Performance Computers. This study endeavours to compare the effectiveness of LBM and FVM in simulating particulate flows within a child’s respiratory tract, supporting research related to particle deposition and medication delivery using LBM. Considering a 5-year-old child’s airway model at a steady inspiratory flow, the results are compared with in vitro experiments. Notably, both LBM and FVM exhibit favourable agreement with experimental data for the mean velocity field and the turbulence intensity. For particle deposition, both numerical methods yield comparable results, aligning well with in vitro experiments across a particle size range of 0.1–20 µm. Discrepancies are identified in the upper airways and trachea, indicating a lower deposition fraction than in the experiment. Nonetheless, both LBM and FVM offer invaluable insights into particle behaviour for different sizes, which are not easily achievable experimentally. In terms of practical implications, the findings of this study hold significance for respiratory medicine and drug delivery systems — potential health impacts, targeted drug delivery strategies or optimisation of respiratory therapies.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20300 - Mechanical engineering

Result continuities

  • Project

    <a href="/en/project/GA20-27653S" target="_blank" >GA20-27653S: Influence of infants and children lungs development on flow field and aerosol deposition– computational modelling and experimental validation</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    COMPUTERS IN BIOLOGY AND MEDICINE

  • ISSN

    0010-4825

  • e-ISSN

    1879-0534

  • Volume of the periodical

    170

  • Issue of the periodical within the volume

    107994

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    17

  • Pages from-to

    „“-„“

  • UT code for WoS article

    001179282000001

  • EID of the result in the Scopus database

    2-s2.0-85183975977