Prediction of modulus of rupture and modulus of elasticity of heat treated anatolian chestnut (Castanea sativa) wood by fuzzy logic classifier
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Journal Drvna Industrija
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, test samples prepared from Anatolian chestnut (Castanea sativa) wood were first exposed to heat treatment at 130, 145, 160, 175, 190 and 205 °C for 3, 6, 9 and 12 hours. Then the values of the samples of the modulus of rupture (MOR) and modulus of elasticity (MOE) were determined and evaluated by multiple variance analysis. The aim of this study was to establish the effects of heat treatment on the MOR and MOE values of wood samples by using fuzzy logic classifier. Secondly, input and output values and rule base of the fuzzy logic classifier model were built by using the results obtained from the experiment. The developed fuzzy classifier model could predict the MOR and MOE values of test samples at the accuracy levels of 92.64% and 90.35%, respectively. The model could be especially employed in manufacturing stages of timber industry.
Açıklama
Anahtar Kelimeler
Fuzzy logic classifier, Heat treatment, Modulus of elasticity, Modulus of rupture, Wood
Kaynak
Drvna Industrija
WoS Q Değeri
Scopus Q Değeri
Q2
Cilt
63
Sayı
1
