Literature DB >> 26653154

Investigation of the flow-field in the upper respiratory system when wearing N95 filtering facepiece respirator.

Xiaotie Zhang1, Hui Li1, Shengnan Shen1, Mang Cai1.   

Abstract

This article presents a reverse modeling of the headform when wearing a filtering facepiece respirator (FFR) and a computational fluid dynamics (CFD) simulation based on the modeling. The whole model containing the upper respiratory airway, headform, and FFR was directly recorded by computed tomography (CT) scanning, and a medical contrast medium was used to make the FFR "visible." The FFR was normally worn by the subject during CT scanning so that the actual deformation of both the FFR and the face muscles during contact can be objectively conserved. The reverse modeling approach was introduced to rebuild the geometric model and convert it into a CFD solvable model. In this model, we conducted a transient numerical simulation of air flow containing carbon dioxide, thermal dynamics, and pressure and wall shear stress distribution in the respiratory system taking into consideration an individual wearing a FFR. The breathing cycle was described as a time-dependent profile of the air velocity through the respiratory airway. The result shows that wearing the N95 FFR results in CO2 accumulation, an increase in temperature and pressure elevation inside the FFR cavity. The volume fraction of CO2 reaches 1.2% after 7 breathing cycles and then is maintained at 3.04% on average. The wearers re-inhale excessive CO2 in every breathing cycle from the FFR cavity. The air temperature in the FFR cavity increases rapidly at first and then stays close to the exhaled temperature. Compared to not wearing an FFR, wearers have to increase approximately 90 Pa more pressure to keep the same breathing flow rate of 30.54 L/min after wearing an FFR. The nasal vestibule bears more wall shear stress than any other area in the airway.

Entities:  

Keywords:  CT scanning; Computational fluid dynamics; N95 filtering facepiece respirators; upper respiratory airway

Mesh:

Substances:

Year:  2016        PMID: 26653154     DOI: 10.1080/15459624.2015.1116697

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  8 in total

1.  A computational model for predicting changes in infection dynamics due to leakage through N95 respirators.

Authors:  Prasanna Hariharan; Neha Sharma; Suvajyoti Guha; Rupak K Banerjee; Gavin D'Souza; Matthew R Myers
Journal:  Sci Rep       Date:  2021-05-21       Impact factor: 4.996

2.  Numerical evaluation of face masks for prevention of COVID-19 airborne transmission.

Authors:  Jiaxing Liu; Ming Hao; Shulei Chen; Yang Yang; Jian Li; Qi Mei; Xin Bian; Kun Liu
Journal:  Environ Sci Pollut Res Int       Date:  2022-02-09       Impact factor: 5.190

3.  Study of the micro-climate and bacterial distribution in the deadspace of N95 filtering face respirators.

Authors:  Quan Yang; Hui Li; Shengnan Shen; Guoqing Zhang; Ruiyang Huang; Yong Feng; James Yang; Shiyue Ma
Journal:  Sci Rep       Date:  2018-11-26       Impact factor: 4.379

4.  Influence of wind and relative humidity on the social distancing effectiveness to prevent COVID-19 airborne transmission: A numerical study.

Authors:  Yu Feng; Thierry Marchal; Ted Sperry; Hang Yi
Journal:  J Aerosol Sci       Date:  2020-05-18       Impact factor: 3.433

5.  The effects of face mask specifications on work of breathing and particle filtration efficiency.

Authors:  Mojdeh Monjezi; Hamidreza Jamaati
Journal:  Med Eng Phys       Date:  2021-10-06       Impact factor: 2.242

Review 6.  What We Are Learning from COVID-19 for Respiratory Protection: Contemporary and Emerging Issues.

Authors:  Rui Li; Mengying Zhang; Yulin Wu; Peixin Tang; Gang Sun; Liwen Wang; Sumit Mandal; Lizhi Wang; James Lang; Alberto Passalacqua; Shankar Subramaniam; Guowen Song
Journal:  Polymers (Basel)       Date:  2021-11-28       Impact factor: 4.329

7.  An Improved FFR Design with a Ventilation Fan: CFD Simulation and Validation.

Authors:  Xiaotie Zhang; Hui Li; Shengnan Shen; Yu Rao; Feng Chen
Journal:  PLoS One       Date:  2016-07-25       Impact factor: 3.240

Review 8.  An overview of filtration efficiency through the masks: Mechanisms of the aerosols penetration.

Authors:  A Tcharkhtchi; N Abbasnezhad; M Zarbini Seydani; N Zirak; S Farzaneh; M Shirinbayan
Journal:  Bioact Mater       Date:  2020-08-11
  8 in total

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