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Experimental investigation of face mask filtration in the 15–150 μm range for stationary flows
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0003-0398-1919
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0001-8355-2414
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0003-4879-8261
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0002-1033-0244
2022 (English)In: Journal of Applied Physics, ISSN 0021-8979, E-ISSN 1089-7550, Vol. 131, no 4, article id 044702Article in journal (Refereed) Published
Abstract [en]

The effectiveness of face masks for preventing airborne transmission has been debated heavily during the COVID-19 pandemic. This paper investigates the filtration efficiency for four different face mask materials, two professional and two homemade, for different airflow conditions using model experiments and artificially generated water droplets. The size range chosen represents particles with the largest volume that can be suspended in air. The particles are detected using double pulsed interferometric particle imaging, from which it is possible to estimate the positions, velocity, and size of individual particles. It is found that all the tested face masks are efficient in preventing particles from transmission through the mask material. In the presence of leakage, particles larger than approximately 100𝜇m are completely removed from the air stream. The filtration efficiency decreases with the decreasing particle size to approximately 80% for 15𝜇m particles. The size dependency in the leakage is mainly due to the momentum of the larger particles. The results show that even simple face mask materials with leakage prevent a large portion of the emitted particles in the 15–150 𝜇m range.

Place, publisher, year, edition, pages
American Institute of Physics (AIP), 2022. Vol. 131, no 4, article id 044702
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Experimental Mechanics; Fluid Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-89473DOI: 10.1063/5.0077710ISI: 000802533000005Scopus ID: 2-s2.0-85123754250OAI: oai:DiVA.org:ltu-89473DiVA, id: diva2:1644364
Funder
Swedish Research Council, 2020-05871
Note

Validerad;2022;Nivå 2;2022-03-14 (johcin)

Available from: 2022-03-14 Created: 2022-03-14 Last updated: 2022-07-06Bibliographically approved

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Öhman, JohanGren, PerSjödahl, MikaelLundström, Staffan

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