Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms

During the COVID-19 pandemic started in March 2020, the need for personal protective equipment rapidly grew as it became mandatory. The availability of a set of faces can be of great utility in designing a face mask with proper adherence and comfortability in wearing and breathing. A 3D geometry of...

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Autores principales: Ficarella, Elisa, Natalicchio, Angelo, Spina, Roberto, Galantucci, Luigi Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264978/
https://www.ncbi.nlm.nih.gov/pubmed/35822104
http://dx.doi.org/10.1016/j.procir.2022.06.047
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author Ficarella, Elisa
Natalicchio, Angelo
Spina, Roberto
Galantucci, Luigi Maria
author_facet Ficarella, Elisa
Natalicchio, Angelo
Spina, Roberto
Galantucci, Luigi Maria
author_sort Ficarella, Elisa
collection PubMed
description During the COVID-19 pandemic started in March 2020, the need for personal protective equipment rapidly grew as it became mandatory. The availability of a set of faces can be of great utility in designing a face mask with proper adherence and comfortability in wearing and breathing. A 3D geometry of a face with user-defined anthropometric measures was generated with Blender, a powerful development tool for creating 3D images. Using 3D Facial Norms, a free online database, it was possible to compute the mean anthropometric measures for the age groups of 17-20, 20-30, and 30-40 years old and then generate the respective faces for both genders. The adherence of an innovative face mask was then simulated with the reverse engineering software considering both the face mask and the faces rigid.
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spelling pubmed-92649782022-07-08 Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms Ficarella, Elisa Natalicchio, Angelo Spina, Roberto Galantucci, Luigi Maria Procedia CIRP Article During the COVID-19 pandemic started in March 2020, the need for personal protective equipment rapidly grew as it became mandatory. The availability of a set of faces can be of great utility in designing a face mask with proper adherence and comfortability in wearing and breathing. A 3D geometry of a face with user-defined anthropometric measures was generated with Blender, a powerful development tool for creating 3D images. Using 3D Facial Norms, a free online database, it was possible to compute the mean anthropometric measures for the age groups of 17-20, 20-30, and 30-40 years old and then generate the respective faces for both genders. The adherence of an innovative face mask was then simulated with the reverse engineering software considering both the face mask and the faces rigid. The Author(s). Published by Elsevier B.V. 2022 2022-07-08 /pmc/articles/PMC9264978/ /pubmed/35822104 http://dx.doi.org/10.1016/j.procir.2022.06.047 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Ficarella, Elisa
Natalicchio, Angelo
Spina, Roberto
Galantucci, Luigi Maria
Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms
title Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms
title_full Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms
title_fullStr Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms
title_full_unstemmed Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms
title_short Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms
title_sort technological scouting of bi-material face masks: simulation of adherence using 3d facial norms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264978/
https://www.ncbi.nlm.nih.gov/pubmed/35822104
http://dx.doi.org/10.1016/j.procir.2022.06.047
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