Computational modeling of airflow in the human nasal cavity
Amey Raju Pawade will present his master thesis titled "Computational modeling of airflow in the human nasal cavity".
Presentation online in Zoom
Student: Amey Raju Pawade
Supervisors: Håkan Nilsson, Valery Chernoray, Johan Hellgren, Torbjörn Lundh and Ebrahim Ghahramani
Examiner: Håkan Nilsson
Opponent: Vishal Subramaniasivam
Nasal obstructions restrict the flow of air through the nasal passage and a failure to accurately identify the obstructions can lead to long-term discomfort in the patients. There is a need to develop new methods to diagnose the nasal obstructions as the current subjective and objective methods do not always strongly correlate, resulting in the medical and surgical procedures being sub-optimal thus reducing patient comfort. The advancement in computing and imaging technology enables the use of novel methods like computational fluid dynamics (CFD) and 3D imaging to diagnose nasal obstructions by performing virtual surgery on the 3D model of a patient's nasal cavity.
This project aims at understanding the effect of tidal breathing in the nasal cavity and exploring the prospects of using CFD as a tool in diagnosing nasal obstructions. The results from tidal breathing simulation are compared with an in-vitro pressure measurement experiment to validate the CFD methodology. Additionally, nasal resistance from the in-vitro rhinomanometry experiment is compared with the CFD-derived nasal resistance to see how CFD simulation results correlate with the current objective methods.
Student project presentation
Online in Zoom
16 August, 2021, 10:00
16 August, 2021, 11:00