CFD simulation of airflow behavior and particle transport and deposition in different breathing conditions through the realistic model of human airways

Rahimi‐Gorji, Mohammad; Pourmehran, O.; Gorji-Bandpy, M.; Gorji, Tahereh B.

doi:10.1016/j.molliq.2015.05.031

Cited by 170 publications

(77 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Higher deposition fraction (14.79%) was observed in the carina of the trachea, main bronchi and intermediate bronchus (Zone 1). The deposition fraction was higher in the right bronchial trees than that of the left bronchial trees which agrees with the result predicted by [37]. This result showed that there is a possibility that the right bronchial trees to be more affected by dust than the left bronchial trees.…”

Section: Airflow Velocity Wall Pressure and Wall Shear Stresssupporting

confidence: 90%

Numerical Simulation of Transport and Deposition of Dust Particles in Human Tracheobronchial Airways

Tsega¹,

Katiyar²,

Gupta³

2019

IJBSE

View full text Add to dashboard Cite

Dust is a common pollutant of the air we breath. If dust particles are inhaled and deposited in human airways, they can cause a variety of respiratory disorders. The inhaled dust particles motion in human airways goes along with the airflow. The transport process can be considered as a two-phase flow of a gas phase and a particle phase. In this study, we investigated the airflow and dust particles transport and deposition in human tracheobronchial airways using computational fluid dynamics (CFD) techniques. A steady simulation was performed in asymmetric tracheobronchial airway mode consisting of 19 outlets to observe the characteristics of airflow fields. The discrete phase model (DPM) was employed to predict the particle trajectories and deposition in the airway model. Deposition resulted from inertial impaction and gravitational sedimentation was considered. In the simulation, the airflow characteristics differences in the right and left bronchial trees were observed. The influence of secondary flow on dust particles motion was great. More dust particles were deposited in the right bronchial tree than in the left. The deposition fraction of dust particles in human tracheobronchial airways was high. This study can provide awareness on deposition of dust particles passing beyond the larynx and enhance prevention of their entry into the respiratory system. It can also contribute a convenient way on the location of deposition of particles of a given type in human respiratory tract to be used for respiratory disease preventions.

show abstract

Section: Airflow Velocity Wall Pressure and Wall Shear Stresssupporting

confidence: 90%

Numerical Simulation of Transport and Deposition of Dust Particles in Human Tracheobronchial Airways

Tsega¹,

Katiyar²,

Gupta³

2019

IJBSE

View full text Add to dashboard Cite

show abstract

“…A wide range of in silico [3][4][5][6][7][8][9][10] and experimental [11,12] studies have been performed on airflow and particle transport characterization in idealized and realistic models of the lung. Almost all the available literature, however, considers healthy airways for airflow and particle transport modelling.…”

Section: Introductionmentioning

confidence: 99%

Airflow and Particle Transport Prediction through Stenosis Airways

Singh

Raghav

Padhmashali

et al. 2020

IJERPH

View full text Add to dashboard Cite

Airflow and particle transport in the human lung system is influenced by biological and other factors such as breathing pattern, particle properties, and deposition mechanisms. Most of the studies to date have analyzed airflow characterization and aerosol transport in idealized and realistic models. Precise airflow characterization for airway stenosis in a digital reference model is lacking in the literature. This study presents a numerical simulation of airflow and particle transport through a stenosis section of the airway. A realistic CT-scan-based mouth-throat and upper airway model was used for the numerical calculations. Three different models of a healthy lung and of airway stenosis of the left and right lung were used for the calculations. The ANSYS FLUENT solver, based on the finite volume discretization technique, was used as a numerical tool. Proper grid refinement and validation were performed. The numerical results show a complex-velocity flow field for airway stenosis, where airflow velocity magnitude at the stenosis section was found to be higher than that in healthy airways. Pressure drops at the mouth-throat and in the upper airways show a nonlinear trend. Comprehensive pressure analysis of stenosis airways would increase our knowledge of the safe mechanical ventilation of the lung. The turbulence intensities at the stenosis sections of the right and left lung were found to be different. Deposition efficiency (DE) increased with flow rate and particle size. The findings of the present study increase our understanding of airflow patterns in airway stenosis under various disease conditions. More comprehensive stenosis analysis is required to further improve knowledge of the field.

show abstract

“…These computational models consider distinct deposition mechanisms such as impaction, diffusion, and gravitational settling, and can be applied for a wide range of particle sizes (Frederix et al 2017). CFD models have been used with complex morphometric data from the human upper respiratory tract (Rahimi-Gorji et al 2015;Frederix et al 2018). In addition, a wide variety of aerosol properties have been modeled for various applications such as cigarette smoke particles (Zhang, Kleinstreuer, and Hyun 2012) and drugdelivery spray particles (Kimbell et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Development of a realistic human respiratory tract cast representing physiological thermal conditions

Asgari

Lucci

Białek

et al. 2019

Aerosol Science and Technology

View full text Add to dashboard Cite

Toxicological assessment of inhaled aerosols and their effects on respiratory tissue cells requires accurate measurements of particle delivery, properties, evolution, and deposition in the human respiratory tract. These measurements are affected by both anatomical features and physiological factors, such as thermal conditions in the respiratory system. We constructed a segmented cast model, based on a realistic geometry of the human respiratory tract, equipped with features to control the temperature of the air flow. We then evaluated the thermal equilibrium of the air flow through the cast using both experimental measurements and computational fluid dynamics modeling. Uniform temperature distribution in the cast shell was achieved using parallel connection of the cast segments to a thermal bath by flow splitter. Air temperature inside the cast was shown to require <1 min to equilibrate with the temperature of the cast during internal circulation of hot water. Air flow temperature was shown to equilibrate with the cast temperature in the mouth-throat region, and a uniform temperature distribution was achieved in the other segments, resembling the thermal conditions of respiratory flow in the human lung. We showed that the cast successfully represents the physiological thermal conditions of the human respiratory system.

show abstract

CFD simulation of airflow behavior and particle transport and deposition in different breathing conditions through the realistic model of human airways

Cited by 170 publications

References 30 publications

Numerical Simulation of Transport and Deposition of Dust Particles in Human Tracheobronchial Airways

Numerical Simulation of Transport and Deposition of Dust Particles in Human Tracheobronchial Airways

Airflow and Particle Transport Prediction through Stenosis Airways

Development of a realistic human respiratory tract cast representing physiological thermal conditions

Contact Info

Product

Resources

About