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Experimental and Computational Multiphase Flow 2019, 1(3): 212-218 https://doi.org/10.1007/s42757-019-0014-1
Research Article | Issue | Published: 05 September 2019

Computational fluid dynamics investigation of particle intake for nasal breathing by a moving body

Show Author's Information Yao Tao1,  Wei Yang2,  Kazuhide Ito3,  Kiao Inthavong1( )
School of Aerospace, Mechanical & Manufacturing Engineering, RMIT University, Melbourne, Australia
College of Engineering and Science, Victoria University, Melbourne, Australia
Interdisciplinary Graduate School of Engineering Science, Kyushu University, Fukuoka, Japan
Keywords:
computational fluid dynamics (CFD), particle intake, nasal breathing, moving body
Cite this article:
Tao Y, Yang W, Ito K, et al. Computational fluid dynamics investigation of particle intake for nasal breathing by a moving body. Experimental and Computational Multiphase Flow, 2019, 1(3): 212-218. https://doi.org/10.1007/s42757-019-0014-1
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Abstract Full text About this article

Particle intake by human breathing is important for developing relevant estimates of exposure in the indoor environments; however, relatively few studies are devoted to the influence from human activities. This study evaluates the nasal inhalability of micron particles for a manikin in motion by transient computational fluid dynamics (CFD) simulations. The model was built using a full-scale manikin with key facial features at the nose and mouth. The manikin was moving at a speed of 0.8 m/s through stagnant air in an indoor environment achieved by dynamic mesh. Three nasal inhalation rates of 15, 27, and 40 LPM (litres per minute) and four particle sizes (7, 22, 52, and 82 μm) were considered. The particle intake fraction was calculated to quantify the nasal inhalability of particles over different conditions. Fluid flow field of the motion-induced wake flow and particle trajectories were visualized to reveal the principles of the particle inhalability for a body in motion. This study quantifying the particle intake for a moving manikin will help to characterize a more holistic scenario for respiration modellings and developing estimates of exposure affected by human activities.


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About this article

Computational fluid dynamics investigation of particle intake for nasal breathing by a moving body

Show Author's information Yao Tao1, Wei Yang2, Kazuhide Ito3, Kiao Inthavong1( )
School of Aerospace, Mechanical & Manufacturing Engineering, RMIT University, Melbourne, Australia
College of Engineering and Science, Victoria University, Melbourne, Australia
Interdisciplinary Graduate School of Engineering Science, Kyushu University, Fukuoka, Japan

Abstract

Particle intake by human breathing is important for developing relevant estimates of exposure in the indoor environments; however, relatively few studies are devoted to the influence from human activities. This study evaluates the nasal inhalability of micron particles for a manikin in motion by transient computational fluid dynamics (CFD) simulations. The model was built using a full-scale manikin with key facial features at the nose and mouth. The manikin was moving at a speed of 0.8 m/s through stagnant air in an indoor environment achieved by dynamic mesh. Three nasal inhalation rates of 15, 27, and 40 LPM (litres per minute) and four particle sizes (7, 22, 52, and 82 μm) were considered. The particle intake fraction was calculated to quantify the nasal inhalability of particles over different conditions. Fluid flow field of the motion-induced wake flow and particle trajectories were visualized to reveal the principles of the particle inhalability for a body in motion. This study quantifying the particle intake for a moving manikin will help to characterize a more holistic scenario for respiration modellings and developing estimates of exposure affected by human activities.

Keywords: computational fluid dynamics (CFD), particle intake, nasal breathing, moving body

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Publication history
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Publication history

Received: 01 March 2019
Accepted: 02 March 2019
Published: 05 September 2019
Issue date: September 2019

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© Tsinghua University Press 2019
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