Kiao Inthavong1, Jiawei Ma2, Yidan Shang2, Jingliang Dong2, Annicka S R Chetty2, Jiyuan Tu3, Dennis Frank-Ito4. 1. School of Engineering - Mechanical, RMIT University, VIC, Australia. Electronic address: kiao.inthavong@rmit.edu.au. 2. School of Engineering - Mechanical, RMIT University, VIC, Australia. 3. School of Engineering - Mechanical, RMIT University, VIC, Australia; Key Laboratory of Ministry of Education for Advanced Reactor Engineering and Safety, Institute of Nuclear and New Energy Technology, Tsinghua University, PO Box 1021, Beijing 100086, China. 4. Division of Head and Neck Surgery & Communication Sciences, Duke University Medical Center, Durham, NC, USA.
Abstract
BACKGROUND: A major issue among computational respiratory studies is the wide variety of nasal morphologies being studied, caused by both inter-population and inter-subject variations. METHOD: Six nasal cavity geometries exhibiting diverse geometry variations were subjected to steady inhalation flow rate of 15L/min. to determine if any consistent flow behaviour could be found. FINDINGS: Despite vastly different geometries we were able to identify consistent flow patterns including relatively high velocity in the nasal valve region, followed by flow continuing predominantly in the inferior half of the airway. We also found conformity among models where the inhaled air reached a near-conditioned state by the middle of the nasal cavity. Air from the front of the face reached the olfactory regions while air from the lateral sides of the face moved through the inferior half of the nasal cavity. INTERPRETATION: The ability to predict gross flow features provides a baseline flow field to compare against. This contributes towards establishing well defined flow predictions and be used as a comparison for future larger studies. Crown
BACKGROUND: A major issue among computational respiratory studies is the wide variety of nasal morphologies being studied, caused by both inter-population and inter-subject variations. METHOD: Six nasal cavity geometries exhibiting diverse geometry variations were subjected to steady inhalation flow rate of 15L/min. to determine if any consistent flow behaviour could be found. FINDINGS: Despite vastly different geometries we were able to identify consistent flow patterns including relatively high velocity in the nasal valve region, followed by flow continuing predominantly in the inferior half of the airway. We also found conformity among models where the inhaled air reached a near-conditioned state by the middle of the nasal cavity. Air from the front of the face reached the olfactory regions while air from the lateral sides of the face moved through the inferior half of the nasal cavity. INTERPRETATION: The ability to predict gross flow features provides a baseline flow field to compare against. This contributes towards establishing well defined flow predictions and be used as a comparison for future larger studies. Crown
Authors: Kiao Inthavong; David F Fletcher; Mehrdad Khamooshi; Sara Vahaji; Hana Salati Journal: Int J Numer Method Biomed Eng Date: 2022-02-21 Impact factor: 2.648