Dynamic recrystallization and texture modeling of IN718 superalloy

In the present study, dynamic recrystallization (DRX) of IN718 superalloy was modeled based on the experimental data as well as modified cellular automaton (CA) methods. To verify the ability of the presented models for predicting the microstructural features, the electron backscattered diffraction technique was used. Results showed that both models are capable of estimating the mean grain size and volume fraction of DRX grains. Furthermore, the macroscopic flow behavior of the material, and texture evolution of the structure were simulated using the proposed CA model. In this model, the lattice rotation of grains was determined assuming that each grain obeys the rules of single crystal deformation, and the morphological texture was obtained using a topological module in the CA approach.