Artificial Neural Network (ANN) Approach to Hardness Prediction of Aged Aluminium 2024 and 6063 Alloys
Küçük Resim Yok
Tarih
2012
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Carl Hanser Verlag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the effect of aging heat treatment on the hardness of AA 2024 and AA 6063 aluminum alloys was investigated by experimental and an Artificial Neural Network (ANN). AA 2024 and AA 6063 aluminum alloys were solution treated at two different temperatures of 490 degrees C and 520 degrees C. Then both samples were cooled to room temperature. After this process, the samples were aged at three different temperatures (140 degrees C, 180 degrees C, 220 degrees C) for ten different periods of time (2, 4, 6, 8, 10, 12, 14, 16, 18, and 20 h.). The experimental results were trained in an ANNs program, and the results were compared with experimental values. It is observed that the experimental results coincided with the ANNs results.
Açıklama
Anahtar Kelimeler
Mechanical-Properties
Kaynak
Materials Testing
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
54
Sayı
1
