CFD Simulation of Airflow Dynamics During Cough Based on CT-Scanned Respiratory Airway Geometries

Abstract

The airflow dynamics observed during a cough process in a CT-scanned respiratory airway model were numerically analyzed using the computational fluid dynamics (CFD) method. The model and methodology were validated by a comparison with published experimental results. The influence of the cough peak flow rate on airflow dynamics and flow distribution was studied. The maximum velocity, wall pressure, and wall shear stress increased linearly as the cough peak flow increased. However, the cough peak flow rate had little influence on the flow distribution of the left and right main bronchi during the cough process. This article focuses on the mathematical and numerical modelling for human cough process in bioengineering.

Chemical and Microstructural Characterization of pH and [Ca2+] Dependent Sol-Gel Transitions in Mucin Biopolymer

“…The shear thinning behavior of mucin solutions was expected based on prior work by the authors and is supported by previous work by other researchers 6,27,28,42 . Physiologically this rheological feature allows for better clearance of mucus during high shear processes like inhalation and coughing 43,44 . The trends in viscosity behavior as a function of pH, the slope of viscosity vs. shear rate data, and the change in slope of the viscosity data at higher shear rates all align with the study by Celli et al 6 using 15 mg/mL solutions of commercial mucin.…”

CFD simulations of respiratory airflow in human upper airways response to walking and running for oral breathing condition

“…Momentum Equation: where is the mean velocity component in the , and directions , is the mean pressure, is air density ( ), is dynamic viscosity of the air ( ) for laminar flow [ 6 ] and is the turbulent viscosity. The k-ω shear stress transport (SST) turbulence model was employed in the simulation which is suitable to predict different flow regimes and more accurate and reliable [ 9 , 10 , 20 ]. The k-ω SST model combines the k-ω turbulence model to use near walls and standard k–ε turbulence model to use away from walls using blending functions [ 21 ].…”

“…To investigate inspiratory airflow, Shang et al [9] employed a realistic respiratory airway model from nasal and oral openings to terminal bronchi up to fifteenth generations. Kou et al [10] analysed the airflow dynamics during coughing in a CT-scan airway model from oral cavity to bronchi up to the fifth generations. Calmet et al [11] used a CT-scan airway model from nasal cavity to bronchi up to third generations to investigate airflow dynamics during a rapid breath.…”

“…Kou et al. [ 10 ] analysed the airflow dynamics during coughing in a CT-scan airway model from oral cavity to bronchi up to the fifth generations. Calmet et al.…”

Comparison between fully resolved and time-averaged simulations of particle cloud dispersion produced by a violent expiratory event

“…Computational fluid dynamics (CFD) has been extensively used to shed some light on the factors that control the ability of these fluid particles to disperse in the environment after being released during respiratory *Corresponding author. E-mail address: akim.lavrinenko@urv.cat (Akim Lavrinenko) Executive Editor: Cristian Marchioli events [3][4][5][6][7][8][9][10][11].…”