INVESTIGATION AND PREDICTION OF CHOSEN COMFORT PROPERTIES ON WOVEN FABRICS FOR CLOTHING

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dc.authoridOGULATA, R. Tugrul/0000-0003-2783-5246
dc.contributor.authorErenler, Alev
dc.contributor.authorOgulata, R. Tugrul
dc.date.accessioned2025-03-23T19:48:04Z
dc.date.available2025-03-23T19:48:04Z
dc.date.issued2015
dc.departmentSinop Üniversitesi
dc.description.abstractIn the content of the study, it was investigated that the effects of various production parameters on the fabric comfort properties of clothing aimed woven fabrics by statistical analyze and it was tried to predict the comfort properties of fabrics by using production parameters. In the scope of the study, it was analyzed by using statistical methods that the effects of selected production parameters which were weft fiber type, weft density, weft yarn count, weaving pattern, fabric thickness and fabric weight on the fabric comfort properties which were fabric air permeability, stiffness and relative wafer vapor permeability(RWVP) Also it was established suitable Artificial Neural Network (ANN) Models by using MATLAB(R) programme for predicting fabric air permeability, fabric stiffness and fabric relative water vapor permeability with using selected production parameters as inputs. As a consequence, the statistical models established for each one of the comfort specialties was seen to be meaningful with the value of p<0.0001. Also the production parameters examined in the study were defined to be meaningful on the comfort specialties statistically. In the content of the study, it was revealed that the fabric comfort specialties can be predicted successfully before manufacture via established ANN Models.
dc.identifier.endpage134
dc.identifier.issn1300-3356
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84936931644
dc.identifier.scopusqualityQ3
dc.identifier.startpage125
dc.identifier.urihttps://hdl.handle.net/11486/7504
dc.identifier.volume25
dc.identifier.wosWOS:000359183300007
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherEge Universitesi
dc.relation.ispartofTekstil Ve Konfeksiyon
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250323
dc.subjectArtificial Neural Network (ANN)
dc.subjectRelative Water Vapor Transmission
dc.subjectAir Permeability
dc.subjectStiffness
dc.subjectComfort
dc.titleINVESTIGATION AND PREDICTION OF CHOSEN COMFORT PROPERTIES ON WOVEN FABRICS FOR CLOTHING
dc.typeArticle

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