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 1720, 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. (C) 2022 The Authors. Published by Elsevier B.V.
Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms / Ficarella, Elisa; Natalicchio, Angelo; Spina, Roberto; Galantucci, Luigi Maria. - ELETTRONICO. - 110:C(2022), pp. 259-264. [10.1016/j.procir.2022.06.047]
Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms
Ficarella, ElisaMembro del Collaboration Group
;Natalicchio, AngeloMembro del Collaboration Group
;Spina, RobertoMembro del Collaboration Group
;Galantucci, Luigi MariaMembro del Collaboration Group
2022-01-01
Abstract
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 1720, 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. (C) 2022 The Authors. Published by Elsevier B.V.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
