Investigation of models of the yarn-bobbin drying process by determination of their parameters using genetic algorithm

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dc.authoridKahveci, Kamil/0000-0003-2492-8690
dc.authoridSusantez, Cigdem/0000-0002-2449-2551
dc.authorwosidKahveci, Kamil/A-2954-2016
dc.contributor.authorSusantez, Cigdem
dc.contributor.authorHacihafizoglu, Oktay
dc.contributor.authorKahveci, Kamil
dc.date.accessioned2024-06-12T10:59:54Z
dc.date.available2024-06-12T10:59:54Z
dc.date.issued2017
dc.departmentTrakya Üniversitesien_US
dc.description.abstractIn the first part of this study, the drying behavior of wool-acrylic yarn bobbins was investigated by a theoretical model and genetic algorithm method. Each candidate solution for D-o, D-1 and D-2 was presented on a single chromosome. The values of D-o, D-1 and D-2 yielding the best fit between the experimental and predicted moisture contents were obtained using the genetic algorithm. In the second part of this study, the suitability of various empirical and semiempirical models in the modeling of the drying process was investigated by the genetic algorithm. The population number was taken as 30 and the tournament selection method was used. The calculations were performed until the 20th generation for the theoretical model and 100th generation for the empirical and semiempirical models. The results show that the genetic algorithm can be successfully used in the modeling of the drying process of yarn bobbins. The results also show that the Verma etal. and Diffusion Approach models yield the best fit with experimental data.en_US
dc.identifier.doi10.1177/0040517516651100
dc.identifier.endpage1216en_US
dc.identifier.issn0040-5175
dc.identifier.issn1746-7748
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-85019355752en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1203en_US
dc.identifier.urihttps://doi.org/10.1177/0040517516651100
dc.identifier.urihttps://hdl.handle.net/20.500.14551/20610
dc.identifier.volume87en_US
dc.identifier.wosWOS:000401725600005en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSage Publications Ltden_US
dc.relation.ispartofTextile Research Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDryingen_US
dc.subjectGenetic Algorithmen_US
dc.subjectDiffusion Coefficienten_US
dc.subjectYarn Bobbinen_US
dc.subjectWool-Acrylicen_US
dc.subjectMoisture Diffusion-Coefficienten_US
dc.subjectTransformer Paperen_US
dc.subjectSimultaneous Heaten_US
dc.subjectNeural-Networken_US
dc.subjectMass-Transferen_US
dc.titleInvestigation of models of the yarn-bobbin drying process by determination of their parameters using genetic algorithmen_US
dc.typeArticleen_US

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