Modeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (<i>Pinus sylvestris</i> L.) Wood by Using Artificial Neural Network

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Yapıcı F., Esen R., Erkaymaz O., Bas H.

DRVNA INDUSTRIJA, cilt.66, sa.4, ss.347-352, 2015 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 66 Sayı: 4
  • Basım Tarihi: 2015
  • Doi Numarası: 10.5552/drind.2015.1434
  • Dergi Adı: DRVNA INDUSTRIJA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.347-352
  • Anahtar Kelimeler: wood, heat treatment, Artificial Neural Network, compressive strength, PARTICLEBOARD, PREDICTION
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

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).