Simulation and thermodynamic analysis of a hot-air textile drying process

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dc.authorid0000-0003-1806-7943
dc.authorscopusid6506635786
dc.authorscopusid56156111800
dc.authorscopusid56575516000
dc.authorwosidAkyol, Ugur/ABA-8180-2020
dc.authorwosidAKAN, AHMET ERHAN/ABH-8687-2020
dc.contributor.authorAkyol, Uğur
dc.contributor.authorAkan, Ahmet Erhan
dc.contributor.authorDurak, Ahmet
dc.date.accessioned2022-05-11T14:14:33Z
dc.date.available2022-05-11T14:14:33Z
dc.date.issued2015
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Makine Mühendisliği Bölümü
dc.departmentMeslek Yüksekokulları, Çorlu Meslek Yüksekokulu, Makine ve Metal Teknolojileri Bölümü
dc.description.abstractThis paper is concerned with the simulation of drying behavior of wool yarn bobbins and also determination of the optimum operating conditions by using thermodynamic analysis. Firstly, experimental drying behavior of wool yarn bobbins was determined on a hot-air bobbin dryer. Empirical and semi-empirical mathematical models available in the literature were fitted to the experimental data. Then, a multi-layer feed forward neural network structure was used to predict drying behavior of wool bobbins. Afterwards, the first and second law analyses were performed to determine the optimum drying conditions. It was concluded that both the Two Term and Verma et al. models and also the artificial neural network model successfully simulates the drying process. Furthermore, according to the energy and exergy analyses' results, P-eff = 1 bar and T = 100 degrees C were found to be the optimum operating conditions in convective drying process of wool yarn bobbins.
dc.description.sponsorshipNamik Kemal University Research FoundationNamik Kemal University [NKUBAP.00.17.YL.10.31]
dc.description.sponsorshipThis work was partially supported by Namik Kemal University Research Foundation [grant number NKUBAP.00.17.YL.10.31].
dc.identifier.doi10.1080/00405000.2014.916062
dc.identifier.endpage274
dc.identifier.issn0040-5000
dc.identifier.issn1754-2340
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84920689923
dc.identifier.scopusqualityQ2
dc.identifier.startpage260
dc.identifier.urihttps://doi.org/10.1080/00405000.2014.916062
dc.identifier.urihttps://hdl.handle.net/20.500.11776/5935
dc.identifier.volume106
dc.identifier.wosWOS:000347546300005
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAkyol, Ugur
dc.institutionauthorAkan, Ahmet Erhan
dc.institutionauthorDurak, Ahmet
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofJournal of the Textile Institute
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectwool
dc.subjectexergy analysis
dc.subjectdrying
dc.subjectenergy analysis
dc.subjectartificial neural network
dc.subjectArtificial Neural-Network
dc.subjectOptimum Operating-Conditions
dc.subjectExergy Analyses
dc.subjectFabric Defects
dc.subjectEnergy
dc.subjectPerformance
dc.subjectPrediction
dc.subjectSystem
dc.subjectOptimization
dc.titleSimulation and thermodynamic analysis of a hot-air textile drying process
dc.typeArticle

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