Determination of Drying Characteristics of Timber by Using Artificial Neural Networks and Mathematical Models

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dc.contributor.authorCeylan, Ilhan
dc.date.accessioned2024-09-29T16:02:42Z
dc.date.available2024-09-29T16:02:42Z
dc.date.issued2008
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn this research, poplar and pine timbers have been dried in heat pump dryer functioning on the basis of 24-h operation. The change in weight in all of the timbers was followed in the drying chamber and drying stopped when the desired weight was achieved. Initial moisture content of the poplar timbers was 1.28kg water/kg dry matter, and the moisture content was reduced to 0.15kg water/kg dry matter moisture content in 70h; the moisture content of the pine timbers, which was 0.60kg water/kg dry matter, was reduced to the same amount in 50h. Drying air temperature, relative humidity, and stack weight were measured and collected during drying and saved on a computer and analyzed afterwards. The moisture ratios were analyzed with Statgraphic computer program by using semitheoretical models and empirical values. Correlation and standard error of estimation (SEE) and R2 values were achieved.en_US
dc.identifier.doi10.1080/07373930802412132
dc.identifier.endpage1476en_US
dc.identifier.issn0737-3937
dc.identifier.issn1532-2300
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-56549083054en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1469en_US
dc.identifier.urihttps://doi.org/10.1080/07373930802412132
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5671
dc.identifier.volume26en_US
dc.identifier.wosWOS:000260907400008en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofDrying Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDrying characteristicsen_US
dc.subjectHeat pump dryeren_US
dc.subjectTimber dryingen_US
dc.titleDetermination of Drying Characteristics of Timber by Using Artificial Neural Networks and Mathematical Modelsen_US
dc.typeArticleen_US

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