Modeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Network
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Zagreb Univ, Fac Forestry
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, the compressive strength of heat treated Scotch Pine was modeled using artificial neural network. The compressive strength (CS) value parallel to grain was determined after exposing the wood to heat treatment at temperature of 130, 145, 160, 175, 190 and 205 degrees C for 3, 6, 9, 12 hours. The experimental data was evaluated by using multiple variance analysis. Secondly, the effect of heat treatment on the CS of samples was modeled by using artificial neural network (ANN).
Açıklama
Anahtar Kelimeler
wood, heat treatment, Artificial Neural Network, compressive strength
Kaynak
Drvna Industrija
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
66
Sayı
4
