Publication:
In-plane permeability characterization using an inverse method based on flow front visualization

dc.contributor.coauthorSalvatori, Damiano, Michaud, Véronique
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.departmentN/A
dc.contributor.kuauthorSözer, Murat
dc.contributor.kuauthorÇağlar, Barış
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofilePhD Student
dc.contributor.otherDepartment of Mechanical Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.yokid110357
dc.contributor.yokidN/A
dc.date.accessioned2024-11-09T23:21:38Z
dc.date.issued2020
dc.description.abstractIn this study, we propose a method to reduce the total number of required one-dimensional resin flow experiments for in-plane permeability (K) characterization of isotropic fabrics by achieving either: (i) a characterization and further statistical analysis of spatially varying permeability in the presence of fabric irregularity and possible race-tracking along the fabric - mold wall interface, or (ii) permeability characterization at more than a single fiber volume fraction (vf) in an experiment. The method is based on accurately detecting the flow front location in the flow propagation video frames and minimizing the deviation between experimental fill times and numerical fill times in Control Volume Finite Element based flow simulations through use of the Levenberg-Marquardt method. The permeability of an isotropic random mat was characterized through reference experiments. K-vf relationship was well represented by a power law. In cases with intentionally introduced race-tracking and with three sections of different vf, permeability results were in agreement with the results of the reference experiments (a set of experiments in which fabric irregularity and race-tracking were eliminated as much as possible). The results indicate that the number of experiments, thus the material and time invested, can be significantly reduced using the proposed method with an additional benefit of obtaining valuable insights on the statistics of the spatial permeability distribution.
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsorshipAdamant Composites Ltd.
dc.description.sponsorshipHellenic Aerospace Industry S.A
dc.description.sponsorshipJEC Group
dc.description.sponsorshipMaterials Today
dc.description.sponsorshipPhotron
dc.description.sponsorshipShimadzu Europa GmbH
dc.identifier.doiN/A
dc.identifier.isbn9781-5108-9693-2
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85084162487&partnerID=40&md5=30539fcf48571a42da61be8415e979f3
dc.identifier.scopus2-s2.0-85084162487
dc.identifier.urihttps://hdl.handle.net/20.500.14288/10928
dc.keywordsNumerical Analysis
dc.keywordsPermeability
dc.keywordsProcess Monitoring
dc.keywordsResin Flow
dc.keywordsResin Transfer Molding (RTM) Composite materials
dc.keywordsMechanical permeability
dc.keywordsNumerical analysis
dc.keywordsNumerical methods
dc.keywordsProcess monitoring
dc.keywordsResin transfer molding
dc.keywordsResins
dc.keywordsIn-plane permeability
dc.keywordsInverse methods
dc.keywordsLevenberg-Marquardt method
dc.keywordsPermeability distribution
dc.keywordsRace tracking
dc.keywordsResin flows
dc.keywordsResin transfer moldings (RTM)
dc.keywordsSingle fiber
dc.keywordsInverse problems
dc.languageEnglish
dc.publisherApplied Mechanics Laboratory
dc.sourceECCM 2018 - 18th European Conference on Composite Materials
dc.subjectMaterials science
dc.subjectComposite materials
dc.titleIn-plane permeability characterization using an inverse method based on flow front visualization
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0001-7327-5628
local.contributor.authorid0000-0001-7771-7323
local.contributor.kuauthorSözer, Murat
local.contributor.kuauthorÇağlar, Barış
relation.isOrgUnitOfPublicationba2836f3-206d-4724-918c-f598f0086a36
relation.isOrgUnitOfPublication.latestForDiscoveryba2836f3-206d-4724-918c-f598f0086a36

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