| Abstract Scope |
This study presents a computational framework merging fast Fourier transform (FFT)-based crystal plasticity (CP) with phase-field modeling (PFM) to analyze deformation, recrystallization, and microstructural evolution in gradient grained metals. Building upon previous work, this extension incorporates geometrically necessary dislocations (GND) into the CP-FFT framework, enabling efficient predictions of statistically-stored dislocation (SSD) and GND densities in such materials. Comparative analysis with finite element method (FEM)-based CP (CP-FEM) validates the computational efficiency. Numerical experiments explore the influence of strain rate, small grain volume fraction, and grain structure on GND density and stress-strain behavior. The integration of GND-involved CP-FFT with phase-field method facilitates the simulation of microstructure evolution, exemplified through plasticity-driven static recrystallization. Investigations into GND, SSD, and GND/SSD-driven recrystallization kinetics, compared with classical theories, showcase the framework's capabilities in understanding the intricate relationship between plastic deformation and microstructural evolution in gradient grained metals. |