Computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways

Area of Science:

• Respiratory Medicine
• Biomedical Engineering
• Fluid Dynamics

Background:

• Airborne particulates and aerosols are inhaled daily by diverse populations.
• Medical therapies often involve aerosol inhalation for respiratory diseases.
• Previous models lacked detailed analysis of transient breathing effects on aerosol deposition.

Purpose of the Study:

• To analyze aerosol inhalation dynamics under conditions simulating thermal therapy.
• To visualize particle trajectories and deposition patterns within the respiratory tract.
• To investigate the influence of physiological breath cycles on aerosol behavior.

Main Methods:

• Computational fluid dynamics (CFD) 3D modeling was employed.
• Simulations included aerosol particles of various sizes (3-25 µm).
• Both steady and dynamic (breath cycle) conditions were analyzed down to the sixth bronchial generation.

Main Results:

• Particle trajectories and deposition were visualized from mouth to bronchi.
• Key phenomena like laryngeal jet and vortex formation were identified.
• Transient physiological breath cycles were shown to significantly affect aerosol deposition patterns.

Conclusions:

• The study provides a comprehensive understanding of aerosol behavior during inhalation.
• Results highlight the critical role of transient breathing dynamics in deposition.
• Findings can inform the design of more effective medical devices and inhalation protocols for all users.