A framework for effective face-mask contact modeling based on finite element analysis for custom design of a facial mask
A novel contact model is presented to efficiently solve a face-mask contact problem by using the finite element (FE) method for the optimized design of a custom facial mask. Simulation of contact pressure for various mask designs considering material properties of the face allows virtual evaluation...
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| Veröffentlicht in: | PloS one 2022-07, Vol.17 (7), p.e0270092-e0270092 |
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| creator | Kwon, Yun-Jae Kim, Jin-Gyun Lee, Wonsup |
| description | A novel contact model is presented to efficiently solve a face-mask contact problem by using the finite element (FE) method for the optimized design of a custom facial mask. Simulation of contact pressure for various mask designs considering material properties of the face allows virtual evaluation of the suitability of a mask design for a person’s face without conducting empirical measurement of the face-mask contact pressure. The proposed contact model is accomplished by combining three approaches to reduce the calculation cost of simulating the face-mask contact: (1) use of a simplified and modifiable mask model that applies a spline curve to design points; (2) reduction of the FE model of the face by applying static condensation; and (3) application of a contact assumption that uses the Lagrange multiplier method. A numerical case study of a medical mask design showed that the proposed model could calculate the face-mask contact pressure efficiently (0.0448 sec per design). In a pilot usability experiment, the measured contact pressure was found similar values (range of mean contact pressure: 0.0093 ~ 0.0150 MPa) to the estimated values (range of mean contact pressure: 0.0097 ~ 0.0116 MPa). |
| doi_str_mv | 10.1371/journal.pone.0270092 |
| format | Article |
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Simulation of contact pressure for various mask designs considering material properties of the face allows virtual evaluation of the suitability of a mask design for a person’s face without conducting empirical measurement of the face-mask contact pressure. The proposed contact model is accomplished by combining three approaches to reduce the calculation cost of simulating the face-mask contact: (1) use of a simplified and modifiable mask model that applies a spline curve to design points; (2) reduction of the FE model of the face by applying static condensation; and (3) application of a contact assumption that uses the Lagrange multiplier method. A numerical case study of a medical mask design showed that the proposed model could calculate the face-mask contact pressure efficiently (0.0448 sec per design). In a pilot usability experiment, the measured contact pressure was found similar values (range of mean contact pressure: 0.0093 ~ 0.0150 MPa) to the estimated values (range of mean contact pressure: 0.0097 ~ 0.0116 MPa).</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0270092</identifier><identifier>PMID: 35862372</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Biology and Life Sciences ; Body measurements ; Condensates ; Contact pressure ; Coronaviruses ; COVID-19 ; Data collection ; Design modifications ; Design optimization ; Empirical analysis ; Evaluation ; Face ; Finite element analysis ; Finite element method ; Lagrange multiplier ; Masks ; Material properties ; Medicine and Health Sciences ; Modelling ; Morphology ; Physical Sciences ; Pressure ; Product design ; Spline functions ; Usability</subject><ispartof>PloS one, 2022-07, Vol.17 (7), p.e0270092-e0270092</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Kwon et al. 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Simulation of contact pressure for various mask designs considering material properties of the face allows virtual evaluation of the suitability of a mask design for a person’s face without conducting empirical measurement of the face-mask contact pressure. The proposed contact model is accomplished by combining three approaches to reduce the calculation cost of simulating the face-mask contact: (1) use of a simplified and modifiable mask model that applies a spline curve to design points; (2) reduction of the FE model of the face by applying static condensation; and (3) application of a contact assumption that uses the Lagrange multiplier method. A numerical case study of a medical mask design showed that the proposed model could calculate the face-mask contact pressure efficiently (0.0448 sec per design). 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kwon, Yun-Jae</au><au>Kim, Jin-Gyun</au><au>Lee, Wonsup</au><au>Čanađija, Marko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A framework for effective face-mask contact modeling based on finite element analysis for custom design of a facial mask</atitle><jtitle>PloS one</jtitle><date>2022-07-21</date><risdate>2022</risdate><volume>17</volume><issue>7</issue><spage>e0270092</spage><epage>e0270092</epage><pages>e0270092-e0270092</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>A novel contact model is presented to efficiently solve a face-mask contact problem by using the finite element (FE) method for the optimized design of a custom facial mask. Simulation of contact pressure for various mask designs considering material properties of the face allows virtual evaluation of the suitability of a mask design for a person’s face without conducting empirical measurement of the face-mask contact pressure. The proposed contact model is accomplished by combining three approaches to reduce the calculation cost of simulating the face-mask contact: (1) use of a simplified and modifiable mask model that applies a spline curve to design points; (2) reduction of the FE model of the face by applying static condensation; and (3) application of a contact assumption that uses the Lagrange multiplier method. A numerical case study of a medical mask design showed that the proposed model could calculate the face-mask contact pressure efficiently (0.0448 sec per design). 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| subjects | Biology and Life Sciences Body measurements Condensates Contact pressure Coronaviruses COVID-19 Data collection Design modifications Design optimization Empirical analysis Evaluation Face Finite element analysis Finite element method Lagrange multiplier Masks Material properties Medicine and Health Sciences Modelling Morphology Physical Sciences Pressure Product design Spline functions Usability |
| title | A framework for effective face-mask contact modeling based on finite element analysis for custom design of a facial mask |
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