This thesis demonstrates how Computational Fluid Dynamics (CFD) can be utilized as a tool to determine human upper respiratory system characteristics. The air flow in the upper respiratory system is often turbulent, corresponding to a Reynolds number of 4889 at the peak of inhalation from the boundaries defined in this study. The importance in selecting a valid turbulence model for numerical simulations is imperative because it is responsible for depicting realistic flow conditions, which affects post processed results. The simulation setup process and results are validated through experimental comparison to determine the most accurate numerical approach in predicting detailed flow characteristics. Multiple patient specific computed tomography (CT) scans are used to generate 3-Dimensional models of the upper airway. Each model is subsequently implemented into STAR-CCM+ software package to create CFD simulations which depict the differences in flow characteristics as the geometry of each respiratory model changes. The extracted data is further utilized to examine how the severity of obstructive sleep apnea (OSA) affects the internal flow characteristics.
|Commitee:||Taherian, Shahab, Hoang, Huy|
|School:||California State University, Long Beach|
|Department:||Mechanical and Aerospace Engineering|
|School Location:||United States -- California|
|Source:||MAI 81/1(E), Masters Abstracts International|
|Keywords:||Computational Fluid Dynamics, Obstructive Sleep Apnea, Upper Respiratory System|
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