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Dergiler / Kastamonu Üniversitesi Orman Fakültesi Dergisi / 2012 / Cilt: 12 - Sayı: 3

Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)

Fatih YAPICI
Raşit ESEN
Şeref KURT
Erkan LIKOS
Okan ERKAYMAZ
Sayfa
131–134
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The comparison between the experimental data and predicted data was also carried out

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this study, the effects of type of nails material and grain angle of wood on the withdrawal strength of nail have been researched.
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Temel Bulgular & Veri:The tests of static nail strength were carried out according to the standards of TS EN 13446.
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Sonuç & Katkı:The comparison between the experimental data and predicted data was also carried out
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Fir · withdrawal strength · nail

Abstract

In this study, the effects of type of nails material and grain angle of wood on the withdrawal strength of nail have been researched. For this purpose specimens were firstly cut in different sections from Uludağ Fir (Abies bornmülleriana M.) wood. The tests of static nail strength were carried out according to the standards of TS EN 13446. Secondly, an artificial neural network system was built by using data obtained in an experimental study for the prediction of withdrawal nail strength. The comparison between the experimental data and predicted data was also carried out

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Bu Makaleye Atıf Yap

YAPICI, F., ESEN, R., KURT, Ş., LIKOS, E., ERKAYMAZ, O. (2012). Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs). Kastamonu Üniversitesi Orman Fakültesi Dergisi, Cilt: 12 - Sayı: 3, 131–134. https://ajindex.com/articles/272039

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Kaynakça (9)

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