首页 | 本学科首页   官方微博 | 高级检索  
   检索      


In silico approaches to respiratory nasal flows: A review
Institution:1. School of Engineering - Mechanical, RMIT University, VIC, Australia;2. 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;3. Division of Head and Neck Surgery & Communication Sciences, Duke University Medical Center, Durham, NC, USA;1. College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou, China;2. Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
Abstract:The engineering discipline of in silico fluid dynamics delivers quantitative information on airflow behaviour in the nasal regions with unprecedented detail, often beyond the reach of traditional experiments. The ability to provide visualisation and analysis of flow properties such as velocity and pressure fields, as well as wall shear stress, dynamically during the respiratory cycle may give significant insight to clinicians. Yet, there remains ongoing challenges to advance the state-of-the-art further, including for example the lack of comprehensive CFD modelling on varied cohorts of patients. The present article embodies a review of previous and current in silico approaches to simulating nasal airflows. The review discusses specific modelling techniques required to accommodate physiologically- and clinically-relevant findings. It also provides a critical summary of the reported results in the literature followed by an outlook on the challenges and topics anticipated to drive research into the future.
Keywords:Nasal airflow  CFD  Nose  Fluid dynamics
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号