A two-phase fluid structure interaction model of mucociliary clearance driven by cilium

Area of Science:

• Biomedical Engineering
• Respiratory Physiology
• Computational Fluid Dynamics

Background:

• Mucociliary clearance is vital for respiratory health, removing inhaled particles and pathogens.
• Dysfunctional mucociliary clearance is implicated in various airway diseases.
• Accurate simulation of mucus transport is crucial for understanding these conditions.

Purpose of the Study:

• To develop a novel two-phase fluid-structure interaction model for simulating mucus transport.
• To investigate the influence of ciliary motion and mucus rheology on clearance efficiency.
• To provide insights into physiological transport mechanisms and therapeutic strategies.

Main Methods:

• Developed a two-phase fluid-structure interaction model.
• Incorporated direct cilia modeling and Carreau non-Newtonian rheology for mucus.
• Implemented a new method for prescribing cilia beat patterns.
• Performed simulations to analyze cilia dynamics and mucus interaction.

Main Results:

• Demonstrated the critical role of fluid-structure coupling in physiological transport.
• Showcased how mucus rheology significantly affects clearance efficiency.
• Identified key interactions between cilia dynamics and mucus properties.

Conclusions:

• The developed model accurately replicates physiological mucus transport.
• Findings underscore the importance of considering fluid-structure interactions and mucus rheology.
• Offers a foundation for understanding airway diseases and developing new treatments.