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Engineering Sciences
Yazarlar: Murat Yavuz SOLMAZ, Oğuz YAKUT
Konular:-
DOI:10.12739/nwsaes.v6i1.5000067012
Anahtar Kelimeler:Ni3Al+B,Intermetallic Compounds,Wear,ANN,Modeling
Özet: The aim of this study, is modelling wear behaviour of Ni3Al+B intermetallic compound, which is used commonly in applications where high temperatures required, by using artificial neural networks. The study was carried out in two stages; experiment and artificial neural network modelling. Firstly, four different load of 50, 75, 100 and 125N at four different temperatures of 25 (room temperature), 100, 300 and 450°C respectively, the experiments were accomplished. Then, the system was modeled as a three-layer feed forward neural network structure, formed with the help of datas obtained from the experimental results. The 75 percent of experimental results was used for education and remaining 25 percent was used for test. Consequently, the proximity of values obtained from experiments and artificial neural networks reveals the success of this study.