ANALYSIS OF VOLUMETRIC SWELLING AND SHRINKAGE OF HEAT TREATED WOODS: EXPERIMENTAL AND ARTIFICIAL NEURAL NETWORK MODELING APPROACH

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dc.authoridAYDIN, AYTAC/0000-0001-7460-9618
dc.authoridBARDAK, selahattin/0000-0001-9724-4762
dc.contributor.authorTiryaki, Sebahattin
dc.contributor.authorBardak, Selahattin
dc.contributor.authorAydin, Aytac
dc.contributor.authorNemli, Gokay
dc.date.accessioned2025-03-23T19:26:03Z
dc.date.available2025-03-23T19:26:03Z
dc.date.issued2016
dc.departmentSinop Üniversitesi
dc.description.abstractShrinkage and swelling characteristics of wood as a hygroscopic material affect negatively its effective utilization for a variety of applications. Heat treatment is widely used for minimizing the negative effects of volumetric swelling and shrinkage of wood. The present study aims to develop artificial neural network (ANN) models for predicting volumetric swelling and shrinkage of heat treated woods. For this purpose, wood samples were subjected to heat treatment at varying temperatures (130, 150, 170 and 190 degrees C) for varying durations (2, 4, 6 and 8 h). Experimental results have showed that volumetric swelling and shrinkage of wood decreased by heat treatment. Then, neural networks models capable of predicting the swelling and shrinkage of the treated woods were developed based on the resulting data. It was seen that ANN models allowed volumetric swelling and shrinkage of such woods to predict successfully with a limited set of experimental data. This approach was able to predict volumetric swelling and shrinkage of wood with a mean absolute percentage error equal to 2,599% and 2,647% in test phase, respectively. The developed models might thus serve as a robust tool to predict volumetric swelling and shrinkage with less number of experiments.
dc.identifier.doi10.4067/S0718-221X2016005000043
dc.identifier.endpage492
dc.identifier.issn0717-3644
dc.identifier.issn0718-221X
dc.identifier.issue3
dc.identifier.scopus2-s2.0-84994358512
dc.identifier.scopusqualityQ2
dc.identifier.startpage477
dc.identifier.urihttps://doi.org/10.4067/S0718-221X2016005000043
dc.identifier.urihttps://hdl.handle.net/11486/4617
dc.identifier.volume18
dc.identifier.wosWOS:000391183500008
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherUniv Bio-Bio
dc.relation.ispartofMaderas-Ciencia Y Tecnologia
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250323
dc.subjectDimensional stability
dc.subjectheat treatment
dc.subjecthygroscopicity
dc.subjectneural network
dc.subjectswelling
dc.subjectwood properties
dc.titleANALYSIS OF VOLUMETRIC SWELLING AND SHRINKAGE OF HEAT TREATED WOODS: EXPERIMENTAL AND ARTIFICIAL NEURAL NETWORK MODELING APPROACH
dc.typeArticle

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