Development of a tractable computational nasal air-conditioning model to aid device design (Video) Event as iCalendar

(Seminars, Mechanical , Faculty of Engineering Events)

01 September 2015

4 - 5pm

Venue: Uniservices House

Location: 70 Symonds St, Ground floor, Room 439 G08


A Bioengineering seminar by Dr David White, Senior Lecturer - Department of Mechanical Engineering, Director - Design for Respiratory Health Lab, Auckland University of Technology.
 

Portrait of Dr David White

Abstract:

The objective of this work was to develop a computationally tractable nasal air-conditioning model to better inform the design of new respiratory therapy devices.

Integrating device design with the patient’s experience and environment is seen as an important process in the development of new medical devices that are better tolerated by users.  A new state-variable heat and water mass transfer model was developed to predict airway surface liquid (ASL) hydration status within each nasal airway that brings greater insight to the product design process by enabling simulation of different physiological, pathophysiological and treatment conditions.

Individual patient nasal geometry, based on in-vivo magnetic resonance imaging (MRI) data, is used to apportion inter-nasal air flow.  Model results during simulated ambient pressure breathing demonstrate the nasal airway conducting the majority of the airflow also experiences a degree of ASL dehydration, as a consequence of undertaking the bulk of the heat and water mass transfer duties.  In contrast, the reduced air conditioning demand within the other airway allows its ASL layer to remain sufficiently hydrated so as to support continuous mucociliary clearance. 

It is quantitatively demonstrated in this work how the nasal cycle enables the upper airway to accommodate the contrasting roles of air conditioning and the removal of entrapped contaminants through fluctuation in airflow partitioning between each airway.


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Dr White's AUT profile

Development of a tractable computational nasal air-conditioning model to aid device design