Prediction on microstructure and mechanical properties of hot forged Ni-based super alloy by optimization using genetic algorithms

Abstract Recently, it has been more important to realize higher combustion temperature of a gas turbine for air crafts. In order to attain that, it is necessary the material gets an excellent mechanical property like tensile strength. The grain size of the material has a large influence on the mechanical property. Therefore it is imperative to predict recrystallization behavior under hot forging and heat treatment for controlling the grain size. In this study, we focused on Alloy 718 of Ni-based superalloy and developed a prediction model for the fractions of dynamic recrystallization and the grain size under hot forging. The calculated results are good agreements with experimental results of the fractions of dynamic recrystallization and grain size.