Araştırma Makalesi

MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS

Cilt: 2 Sayı: 1 30 Haziran 2020
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MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS

Öz

The aim of this study is the modelling the water intake rate of heat-treated oriental beech (Fagus orientalis Lipsky) and oriental spruce (Picea orientalis (L) Link) wood samples. For this purpose, all the needed data were obtained from the beech and spruce wood samples which have been subjected to heat treatment with four different temperatures (130, 150, 180 and 200 °C) and three different periods (2, 6 and 10 hour) and then which have been subjected to the water intake process at certain periods (2, 4, 8, 24, 48, 72, 168 and 336 hour). Data were modeled using artificial neural networks (ANN) method for both tree species in terms of water intake rate characteristics, seperately. Two different learning algorithms (Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG)) were used for the modeling process. In order to achieve the best model, all nodes between 1 and 25 were tested as hidden neuron. A total of 100 models were obtained and 2 models were chosen according to the performance of the models. For two wood species, LM learning algorithm had showed better results than SCG learning algorithm. The structures of the best models for beech and spruce were determined as 3-8-1 and 3-13-1 respectively. As a result, it has been concluded that ANN applications can be evaluated within the discipline of wood protection.

Anahtar Kelimeler

Kaynakça

  1. Bekhta P. and Niemz P. (2003). Effect of High Temperature On the Change in Color, Dimensional Stability and Mechanical Properties of Spruce Wood. Holzforschung, 57(5), 539-546.
  2. Brosse N., El Hage R., Chaouch M., Pétrissans M., Dumarçay S. and Gérardin, P. (2010). Investigation of The Chemical Modifications of Beech Wood Lignin During Heat Treatment. Polymer Degradation and Stability, 95(9), 1721-1726.
  3. Cheng S., Huang A., Wang S. and Zhang, Q. (2016). Effect of Different Heat Treatment Temperatures On The Chemical Composition and Structure of Chinese Fir Wood. BioResources, 11(2), 4006-4016.
  4. Chu D., Xue L., Zhang Y., Kang L. and Mu J. (2016). Surface Characteristics of Poplar Wood with High- Temperature Heat Treatment: Wettability and Surface Brittleness. BioResources, 11(3), 6948-6967.
  5. Chung H., Park Y., Yang S.Y., Kim H., Han Y., Chang Y.S. and Yeo H. (2017). Effect of Heat Treatment Temperature and Time On Sound Absorption Coefficient of Larix kaempferi Wood. Journal of Wood Science, 63(6), 575-579.
  6. Edvardsen K. and Sandland K.M. (1999). Increased Drying Temperature–Its Influence On the Dimensional Stability of Wood. European Journal of Wood and Wood Products, 57(3), 207-209.
  7. Esteves B. and Pereira H. (2009). Wood Modification by Heat Treatment: A Review. BioResources, 4(1), 370-404.
  8. Feist W.C. and Sell J. (2007). Weathering Behavior of Dimensionally Stabilized Wood Treated by Heating Under Pressure of Nitrogen Gas. Wood and Fiber Science, 19(2), 183-195.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Malzeme Karekterizasyonu

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Haziran 2020

Gönderilme Tarihi

8 Temmuz 2020

Kabul Tarihi

11 Aralık 2020

Yayımlandığı Sayı

Yıl 2020 Cilt: 2 Sayı: 1

Kaynak Göster

APA
Gürgen, A., & Yıldız, S. (2020). MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS. Wood Industry and Engineering, 2(1), 6-12. https://izlik.org/JA63FB48AA
AMA
1.Gürgen A, Yıldız S. MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS. WI&E. 2020;2(1):6-12. https://izlik.org/JA63FB48AA
Chicago
Gürgen, Ayşenur, ve Sibel Yıldız. 2020. “MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS”. Wood Industry and Engineering 2 (1): 6-12. https://izlik.org/JA63FB48AA.
EndNote
Gürgen A, Yıldız S (01 Haziran 2020) MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS. Wood Industry and Engineering 2 1 6–12.
IEEE
[1]A. Gürgen ve S. Yıldız, “MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS”, WI&E, c. 2, sy 1, ss. 6–12, Haz. 2020, [çevrimiçi]. Erişim adresi: https://izlik.org/JA63FB48AA
ISNAD
Gürgen, Ayşenur - Yıldız, Sibel. “MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS”. Wood Industry and Engineering 2/1 (01 Haziran 2020): 6-12. https://izlik.org/JA63FB48AA.
JAMA
1.Gürgen A, Yıldız S. MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS. WI&E. 2020;2:6–12.
MLA
Gürgen, Ayşenur, ve Sibel Yıldız. “MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS”. Wood Industry and Engineering, c. 2, sy 1, Haziran 2020, ss. 6-12, https://izlik.org/JA63FB48AA.
Vancouver
1.Ayşenur Gürgen, Sibel Yıldız. MODELLING WATER INTAKE PROPERTIES OF HEAT-TREATED BEECH AND SPRUCE WOOD TREATED AT DIFFERENT TEMPERATURES USING BY ARTIFICIAL NEURAL NETWORKS. WI&E [Internet]. 01 Haziran 2020;2(1):6-12. Erişim adresi: https://izlik.org/JA63FB48AA