Human exhalation characterization with the aid of schlieren imaging technique

Chunwen Xu; Peter Vilhelm Nielsen; Li Liu; Rasmus Lund Jensen; Guangcai Gong

doi:10.1016/j.buildenv.2016.11.032

Human exhalation characterization with the aid of schlieren imaging technique

Chunwen Xu, Peter Vilhelm Nielsen, Li Liu, Rasmus Lund Jensen, Guangcai Gong

Research output: Contribution to journal › Journal article › Research › peer-review

90 Citations (Scopus)

Abstract

Highlights
•Noninvasive schlieren technique was applied to characterize human exhalation.
•New methods were proposed to predict exhaled velocity um and up, respectively.
•Potential infection risk depended on breathing patterns and spatial distribution of exhaled air.
•New data was added to airflow dynamics of human breathing and CFD boundary settings.

Original language	English
Journal	Building and Environment
Volume	112
Pages (from-to)	190-199
Number of pages	10
ISSN	0360-1323
DOIs	https://doi.org/10.1016/j.buildenv.2016.11.032
Publication status	Published - 2017

Keywords

Disease transmission
Schlieren photography
Exhaled airflow
Propagation velocity
Airflow interaction

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10.1016/j.buildenv.2016.11.032

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@article{9ab1e4c826fa4005a0a5d295d2a79859,

title = "Human exhalation characterization with the aid of schlieren imaging technique",

abstract = "Highlights•Noninvasive schlieren technique was applied to characterize human exhalation.•New methods were proposed to predict exhaled velocity um and up, respectively.•Potential infection risk depended on breathing patterns and spatial distribution of exhaled air.•New data was added to airflow dynamics of human breathing and CFD boundary settings.",

keywords = "Disease transmission, Schlieren photography, Exhaled airflow, Propagation velocity, Airflow interaction",

author = "Chunwen Xu and Nielsen, {Peter Vilhelm} and Li Liu and Jensen, {Rasmus Lund} and Guangcai Gong",

year = "2017",

doi = "10.1016/j.buildenv.2016.11.032",

language = "English",

volume = "112",

pages = "190--199",

journal = "Building and Environment",

issn = "0360-1323",

publisher = "Pergamon Press",

}

TY - JOUR

T1 - Human exhalation characterization with the aid of schlieren imaging technique

AU - Xu, Chunwen

AU - Nielsen, Peter Vilhelm

AU - Liu, Li

AU - Jensen, Rasmus Lund

AU - Gong, Guangcai

PY - 2017

Y1 - 2017

N2 - Highlights•Noninvasive schlieren technique was applied to characterize human exhalation.•New methods were proposed to predict exhaled velocity um and up, respectively.•Potential infection risk depended on breathing patterns and spatial distribution of exhaled air.•New data was added to airflow dynamics of human breathing and CFD boundary settings.

AB - Highlights•Noninvasive schlieren technique was applied to characterize human exhalation.•New methods were proposed to predict exhaled velocity um and up, respectively.•Potential infection risk depended on breathing patterns and spatial distribution of exhaled air.•New data was added to airflow dynamics of human breathing and CFD boundary settings.

KW - Disease transmission

KW - Schlieren photography

KW - Exhaled airflow

KW - Propagation velocity

KW - Airflow interaction

U2 - 10.1016/j.buildenv.2016.11.032

DO - 10.1016/j.buildenv.2016.11.032

M3 - Journal article

SN - 0360-1323

VL - 112

SP - 190

EP - 199

JO - Building and Environment

JF - Building and Environment

ER -

Human exhalation characterization with the aid of schlieren imaging technique

Abstract

Keywords

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