Artificial Neural Network (ANN) approach to hardness prediction of aged aluminium 2024 and 6063 Alloys

Meyveci A., Karacan I., DURMUŞ H., Çaligülü U.

Materialpruefung/Materials Testing, cilt.54, sa.1, ss.36-40, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 54 Sayı: 1
  • Basım Tarihi: 2012
  • Doi Numarası: 10.3139/120.110290
  • Dergi Adı: Materialpruefung/Materials Testing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.36-40
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

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° C and 520° C. Then both samples were cooled to room temperature. After this process, the samples were aged at three different temperatures (140° C, 180° C, 220° 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. © Carl Hanser Verlag, München.