Materials analysis and image-based modelling of transmissibility and strain behaviour in approved face mask microstructures.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
17 Oct 2022
Historique:
received: 18 05 2022
accepted: 10 10 2022
entrez: 17 10 2022
pubmed: 18 10 2022
medline: 18 10 2022
Statut: epublish

Résumé

Comparisons are made between six different approved face masks concerning their particle transmissibility allied to mechanical properties. The latter involves material testing and stretch or strain behaviour under load. SEM and X-ray elemental analyses showed contrasting structures between random and ordered fibre orientations. These constitute the mask designs where transmissibility is to be minimised. Airflow velocity measurement enabled filtration to be measured between the different mask designs, from two to six layers of different fabrics in combination. SEM provided the fibre diameter and pore size of each mask layer, up to a maximum of six. Stretching each complete mask showed its elasticity and recovery behaviour on an energy basis. The energy conversion involved in mask straining involves areas enclosed within steady and cyclic load-extension plots. Thus, the work done in extending a mask and the energy recovered from its release identified a hysteresis associated with an irrecoverable permanent stretch to the mask fabric. Failure of individual layers, which occurred successively in extended stretch tests, appeared as a drop in a load-extension response. That change is associated with permanent damage to each mask and friction contact within the rearrangement of loose fibre weaves. Masks with the greatest number of layers reduced particle transmissibility. However, woven or ordered mask fabrics in two layers with different orientations provided comparable performance. Simulation of each mechanical response, velocity streamlining and fibre distribution within the mask layers are also presented.

Identifiants

pubmed: 36253423
doi: 10.1038/s41598-022-22102-6
pii: 10.1038/s41598-022-22102-6
pmc: PMC9574831
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17361

Subventions

Organisme : Open Research & Rights Management, Brunel University London
ID : Funding for APC

Informations de copyright

© 2022. The Author(s).

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Auteurs

Manoochehr Rasekh (M)

College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UB8 3PH, UK. manoochehr.rasekh@brunel.ac.uk.

Francesca Pisapia (F)

Newcells Biotech, The Biosphere, Drayman Helix, South St, Newcastle upon Tyne, NE4 5BX, UK.

Ashley Howkins (A)

College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UB8 3PH, UK.

David Rees (D)

College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UB8 3PH, UK. david.rees@brunel.ac.uk.

Classifications MeSH