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Development of a theoretical model to predict filtration efficiency of electret based masks

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dc.contributor.author Wimalasinghe, BP
dc.contributor.author Siriwardhana, BM
dc.contributor.author Attygalle, D
dc.contributor.editor Abeygunawardana, AAGA
dc.date.accessioned 2022-12-12T08:53:23Z
dc.date.available 2022-12-12T08:53:23Z
dc.date.issued 2022-11
dc.identifier.citation ********** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19762
dc.description.abstract In this study, a 2-Dimensional computational model to predict the filtration efficiency of the electret layer of N95 facemask was developed. The fiber packing density, fiber diameter and fiber layer thickness were included as the parameters defining the fiber structure for the model. Random 2-Dimensional fiber structure were designed using MATLAB and AUTOCAD software while COMSOL Multiphysics was used to simulate filtration mechanisms. The developed model was used to study the filtration mechanisms behavior with various surface charge densities and fiber packing densities. Also, the effect of sticking probabilities with the electrostatic and mechanical filtration were observed. en_US
dc.language.iso en en_US
dc.publisher Department of Materials Science and Engineering, University of Moratuwa. en_US
dc.subject Electret en_US
dc.subject Electrostatic Filtration en_US
dc.subject Surface charge en_US
dc.title Development of a theoretical model to predict filtration efficiency of electret based masks en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Materials Science and Engineering, University of Moratuwa en_US
dc.identifier.year 2022 en_US
dc.identifier.conference Materials Engineering Symposium on Innovations for Industry 2022 en_US
dc.identifier.place Moratuwa, Sri Lanka. en_US
dc.identifier.pgnos p. 19 en_US
dc.identifier.proceeding Towards Smart Society through Innovative Materials en_US
dc.identifier.email dattyga@uom.lk en_US


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