Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks
Yıl: 2020 Cilt: 5 Sayı: 5 Sayfa Aralığı: 785 - 792 Metin Dili: İngilizce DOI: 10.35229/jaes.825435 İndeks Tarihi: 03-02-2021
Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks
Öz: The treatment with fire-retardant chemicals is the most effective process to protectwood and wood-based products from fire is. Therefore, use of fire-retardant chemicals has beenincreased. However, the fire-retardant chemicals have an effect on other physical, mechanical andsome technological properties of the materials treated with them. In this study, firstly, theretention level prediction model was developed with the artificial neural network (ANN) toexamine the effects of wood species and concentration aqueous solution on the retention levelsof veneers. Then, the effects of wood species, concentration aqueous solution and retention levelon the mechanical properties of plywood were investigated with the mechanical strengthprediction model developed with ANN. The prediction models with the best performance weredetermined by statistical and graphical comparisons. It has been observed that ANN modelsyielded very satisfactory results with acceptable deviations. As a result, the findings of this studycould be employed effectively into the forest products industry to reduce time, energy and costfor empirical investigations.
Anahtar Kelime: Yangın Geciktirici Kimyasallarla Emprenye Edilmiş Kontrplakların Retensiyon Miktarları ve Mekanik Dirençlerinin Yapay Sinir Ağları ile Tahmin Edilmesi
Öz: Yangın geciktirici kimyasallar ile emprenye işlemi, ahşap ve ahşap esaslı ürünlerin yangından korunmasında çok etkili bir işlemdir. Bu yüzden, yangın geciktirici kimyasalların kullanımı tüm dünyada artmaktadır. Ancak, yangın geciktirici kimyasallar, uygulanmış oldukları malzemelerin fiziksel, mekanik ve diğer bazı teknolojik özellikleri üzerinde bir etkiye neden olmaktadır. Bu çalışmada ilk olarak, ağaç türlerinin ve konsantrasyon miktarlarının kaplamaların retensiyon miktarları üzerindeki etkilerini incelemek için yapay sinir ağı (YSA) ile retensiyon miktarı tahmin modeli geliştirilmiştir. Daha sonra YSA ile geliştirilen mekanik direnç tahmin modeli ile ağaç türleri, konsantrasyon miktarları ve retensiyon miktarlarının kontrplağın mekanik özelliklerine etkileri araştırılmıştır. En iyi performansa sahip tahmin modelleri, istatistiksel ve grafiksel karşılaştırmalarla belirlenmiştir. YSA modellerinin kabul edilebilir sapmalarla oldukça tatmin edici sonuçlar verdiği görülmüştür. Sonuç olarak, bu çalışmanın bulguları, deneysel araştırmalar için zaman, enerji ve maliyeti azaltmak için orman ürünleri endüstrisinde etkin bir şekilde kullanılabilecektir.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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| APA | ÖZŞAHİN Ş, DEMIR A, AYDIN I (2020). Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks. , 785 - 792. 10.35229/jaes.825435 |
| Chicago | ÖZŞAHİN ŞÜKRÜ,DEMIR AYDIN,AYDIN ISMAIL Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks. (2020): 785 - 792. 10.35229/jaes.825435 |
| MLA | ÖZŞAHİN ŞÜKRÜ,DEMIR AYDIN,AYDIN ISMAIL Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks. , 2020, ss.785 - 792. 10.35229/jaes.825435 |
| AMA | ÖZŞAHİN Ş,DEMIR A,AYDIN I Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks. . 2020; 785 - 792. 10.35229/jaes.825435 |
| Vancouver | ÖZŞAHİN Ş,DEMIR A,AYDIN I Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks. . 2020; 785 - 792. 10.35229/jaes.825435 |
| IEEE | ÖZŞAHİN Ş,DEMIR A,AYDIN I "Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks." , ss.785 - 792, 2020. 10.35229/jaes.825435 |
| ISNAD | ÖZŞAHİN, ŞÜKRÜ vd. "Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks". (2020), 785-792. https://doi.org/10.35229/jaes.825435 |
| APA | ÖZŞAHİN Ş, DEMIR A, AYDIN I (2020). Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks. JOURNAL OF ANATOLIAN ENVIRONMENTAL AND ANIMAL SCIENCES, 5(5), 785 - 792. 10.35229/jaes.825435 |
| Chicago | ÖZŞAHİN ŞÜKRÜ,DEMIR AYDIN,AYDIN ISMAIL Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks. JOURNAL OF ANATOLIAN ENVIRONMENTAL AND ANIMAL SCIENCES 5, no.5 (2020): 785 - 792. 10.35229/jaes.825435 |
| MLA | ÖZŞAHİN ŞÜKRÜ,DEMIR AYDIN,AYDIN ISMAIL Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks. JOURNAL OF ANATOLIAN ENVIRONMENTAL AND ANIMAL SCIENCES, vol.5, no.5, 2020, ss.785 - 792. 10.35229/jaes.825435 |
| AMA | ÖZŞAHİN Ş,DEMIR A,AYDIN I Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks. JOURNAL OF ANATOLIAN ENVIRONMENTAL AND ANIMAL SCIENCES. 2020; 5(5): 785 - 792. 10.35229/jaes.825435 |
| Vancouver | ÖZŞAHİN Ş,DEMIR A,AYDIN I Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks. JOURNAL OF ANATOLIAN ENVIRONMENTAL AND ANIMAL SCIENCES. 2020; 5(5): 785 - 792. 10.35229/jaes.825435 |
| IEEE | ÖZŞAHİN Ş,DEMIR A,AYDIN I "Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks." JOURNAL OF ANATOLIAN ENVIRONMENTAL AND ANIMAL SCIENCES, 5, ss.785 - 792, 2020. 10.35229/jaes.825435 |
| ISNAD | ÖZŞAHİN, ŞÜKRÜ vd. "Prediction of Retention Level and Mechanical Strength of Plywood Treated with Fire Retardant Chemicals by Artificial Neural Networks". JOURNAL OF ANATOLIAN ENVIRONMENTAL AND ANIMAL SCIENCES 5/5 (2020), 785-792. https://doi.org/10.35229/jaes.825435 |
