Investigation and neural network prediction of wood bonding quality based on pressing conditions
Yazarlar (4)
Prof. Dr. Selahattin BARDAK Sinop Üniversitesi, Türkiye
Dr. Öğr. Üyesi Sebahattin Tiryaki Karadeniz Teknik Üniversitesi, Türkiye
Prof. Dr. Gökay Nemli Karadeniz Teknik Üniversitesi, Türkiye
Doç. Dr. Aytaç Aydın Karadeniz Teknik Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | International Journal of Adhesion and Adhesives (Q2) | ||
| Dergi ISSN | 0143-7496 Dergi Bilgileri (2016) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 07-2016 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-07-2016 |
| Cilt / Sayı / Sayfa | 68 / 1 / 115–123 | DOI | 10.1016/j.ijadhadh.2016.02.010 |
| Makale Linki | http://linkinghub.elsevier.com/retrieve/pii/S0143749616300239 | ||
| UAK Araştırma Alanları |
Veri Madenciliği
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| Özet |
| This paper presents an application of artificial neural network (ANN) to predict the bonding strength of the wood joints pressed under different conditions. An experimental investigation firstly was carried out and then an ANN model was developed based on the experimental data. In the experimental investigation, Oriental beech (Fagus orientalis L.) and Oriental spruce (Picea orientalis (L.) Link.) samples bonded with polyvinyl acetate (PVAc) adhesive were pressed at four different temperatures (20, 40, 60 and 80 °C) for four different durations (2, 8, 14 and 20 min). The experimental results showed that higher values of bonding strength were obtained when high temperatures were combined with short pressing duration. Similar findings could be also obtained with longer pressing time for lower temperatures. The first case may be recommended to increase the efficiency of the production process, allowing a greater … |
| Anahtar Kelimeler |
| Bonding strength | Neural network | Prediction | Pressing conditions | PVAc | Wood |
Science Direct
Investigation and neural network prediction of wood bonding quality based on pressing conditions
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 29 |
| Scopus | 30 |
| Google Scholar | 44 |