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

Yapici, FatihEsen, RasitKurt, SerefLikos, ErkanErkaymaz, Okan2024-09-292024-09-2920121303-2399https://hdl.handle.net/20.500.14619/8106In 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 Uludag Fir (Abies bornmulleriana 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.eninfo:eu-repo/semantics/closedAccessFirwithdrawal strengthnailartificial neural networksPrediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)Article134313112WOS:000410030900021N/A