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Zongqin Zhang

Publications and source records attributed to Zongqin Zhang.

2 recordsLinked to original sources

Fine particle deposition within human nasal airways.

An original mathematical model describing particle diffusion in human nasal passages is presented. A unique feature of the model is that it combines effects of both turbulent and laminar flows. To account for turbulence, concentration equations written in cylindrical coordinates are first simplified by a scaling technique and then solved analytically based on momentum/mass transfer analogy. To describe laminar motion, the work of Martonen et al. (1995a) is modified for application to nasal passages. The predictions of the new model agree well with particle deposition data from experiments using human replica nasal casts over a wide range of flow rates (4-30 L/min) and particle sizes (0.001-0.1 micro m). The results of our study suggest that a complex fluid dynamics situation involving a natural transition from laminar to turbulent motion may exist within human nasal passages during inspiration. The model may be used to predict deposition efficiencies of inhaled particles for inhalation toxicology (e.g., the risk assessment of air pollutants) and aerosol therapy (e.g., the treatment of lung diseases) applications.

Diffusion↗

Flow simulation in the human upper respiratory tract.

Computer simulations of airflow patterns within the human upper respiratory tract (URT) are presented. The URT model includes airways of the head (nasal and oral), throat (pharyngeal and laryngeal), and lungs (trachea and main bronchi). The head and throat morphology was based on a cast of a medical school teaching model; tracheobronchial airways were defined mathematically. A body-fitted three-dimensional curvilinear grid system and a multiblock method were employed to graphically represent the surface geometries of the respective airways and to generate the corresponding mesh for computational fluid dynamics simulations. Our results suggest that for a prescribed phase of breath (i.e., inspiration or expiration), convective respiratory airflow patterns are highly dependent on flow rate values. Moreover, velocity profiles were quite different during inhalation and exhalation, both in terms of the sizes, strengths, and locations of localized features such as recirculation zones and air jets. Pressure losses during inhalation were 30-35% higher than for exhalation and were proportional to the square of the flow rate. Because particles are entrained and transported within airstreams, these results may have important applications to the targeted delivery of inhaled drugs.

Computer Simulation↗