| Yazarlar |
İlker Akyüz
Karadeniz Teknik Üniversitesi, Türkiye |
|
Nadir Ersen
Artvin Çoruh Üniversitesi, Türkiye |
|
Sebahattin Tiryaki
Karadeniz Teknik Üniversitesi, Türkiye |
Doç. Dr. Bahadır Çağrı BAYRAM
Kastamonu Üniversitesi, Türkiye |
|
Kadri Cemil Akyüz
Karadeniz Teknik Üniversitesi, Türkiye |
|
Hüseyin Peker
Artvin Çoruh Üniversitesi, Türkiye |
| Özet |
| In this study, the effects of vacuum time, diffusion time and pressing time on the bonding strength of Larix decidua wood impregnated with Immersol-Aqua and bonded with Klebit-303 were investigated. The vacuum time, diffusion time, and pressing time were predicted by using the artificial neural network (ANN) model and multiple linear regression (MLR) methods and the results of ANN and MLR methods were compared. The highest bonding strength (7.664 N.mm-2) was achieved when the vacuum time, the diffusion time and the pressing time were 20, 60 and 60 minutes, respectively, while the lowest value (4.62 N.mm-2) was achieved when the vacuum time, the diffusion time and the pressing time were 80, 120 and 20 minutes, respectively. The model results are as follows: The MAPE value for testing phase in the ANN was 7.266 and R2 value was 0.751 whereas the MAPE value of the MLR was 9.365 and R2 value was 0.558. The ANN model has been found to have better prediction performance than the MLR model. |
| Anahtar Kelimeler |
| Artificial neural network | bonding strength | Impregnation | MLR |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | WOOD RESEARCH |
| Dergi ISSN | 1336-4561 |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q3 |
| Makale Dili | İngilizce |
| Basım Tarihi | 01-2019 |
| Cilt No | 64 |
| Sayı | 3 |
| Sayfalar | 483 / 497 |
| Makale Linki | http://www.woodresearch.sk/wr/201903/10.pdf |
