Modelling by artificial neural network of high temperature fatigue life of oxide dispersion strengthened nickel-based superalloy PM 1000

Kovan V., HAMMER J., MAI R., Yuksel M.

MATERIALS AT HIGH TEMPERATURES, vol.25, no.2, pp.81-88, 2008 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 2
  • Publication Date: 2008
  • Doi Number: 10.3184/096034008x331229
  • Journal Name: MATERIALS AT HIGH TEMPERATURES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.81-88
  • Keywords: fatigue life prediction, artificial neural network, thermal-mechanical fatigue, low-cycle fatigue, nickel-based superalloy, THERMOMECHANICAL FATIGUE, OXIDATION, CREEP
  • Akdeniz University Affiliated: No

Abstract

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.