| Abstract Scope |
Crystal plasticity (CP) models are extensively used to obtain microstructure/property relationships of polycrystalline materials. FFT-based methods, originally proposed by Moulinec and Suquet (1998) for composites, extended to polycrystals by Lebensohn (2001), and currently implemented for non-local large-strain elasto-viscoplasticity [1], are very competitive compared with CP-Finite Elements for some applications, due their higher efficiency and their direct use of voxelized microstructural images. In this talk, we will report recent progress on FFT-based polycrystal plasticity that expands its applicability, including strain-gradient plasticity, achieving geometric accuracy working with voxelized images, non-periodic extensions, and dynamic effects. We will show applications of these methods to micromechanics of nano-metallic laminates, multiscale coupling with Lagrangian hydrocodes, integration with 3DMS characterization methods, use for training and validation of AI models for material science applications, and an ICME application to optimize creep behavior of materials.
[1] Zecevic M., Lebensohn R.A., Capolungo L. JMPS 173, 105187 (2023). |