Modelling by artificial neural network of high temperature fatigue life of oxide dispersion strengthened nickel-based superalloy PM 1000
MATERIALS AT HIGH TEMPERATURES, cilt.25, sa.2, ss.81-88, 2008 (SCI-Expanded)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 25 Sayı: 2
- Basım Tarihi: 2008
- Doi Numarası: 10.3184/096034008x331229
- Dergi Adı: MATERIALS AT HIGH TEMPERATURES
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.81-88
- Anahtar Kelimeler: fatigue life prediction, artificial neural network, thermal-mechanical fatigue, low-cycle fatigue, nickel-based superalloy, THERMOMECHANICAL FATIGUE, OXIDATION, CREEP
- Akdeniz Üniversitesi Adresli: Hayır
Özet
In this study, an artificial neural network model was developed to predict the thermal-mechanical fatigue life and pure isothermal low-cycle fatigue life of oxide dispersion strengthened nickel-based superalloy PM 1000. The input parameters to the model consisted of the concentration of five inputs: mean temperature, temperature amplitude, mean total strain, total strain amplitude, and heating/cooling rate. The calculated results fit perfectly with the experimental data in both types of fatigue experiments. Furthermore, the interactions between heating/cooling rate and thermal-mechanical fatigue life were estimated based on the obtained artificial neural network model.