Characterisation of slip and twin activity using digital image correlation and crystal plasticity finite element simulation: Application to orthorhombic $\alpha$-uranium
Nicol\`o Grilli, Philip Earp, Alan C.F. Cocks, James Marrow, and Edmund Tarleton

TL;DR
This study combines digital image correlation and crystal plasticity finite element simulations to characterize slip and twin activities in coarse-grained α-uranium, enabling calibration and validation of material models for complex deformation mechanisms.
Contribution
It introduces a novel approach integrating experimental DIC data with simulations to determine slip and twin system parameters in coarse-grained materials.
Findings
Latent hardening of coplanar twins is influenced by slip systems.
Hardening rate of slip systems is lower than in fine-grained α-uranium.
Method can be applied to other coarse-grained materials for parameter identification.
Abstract
Calibrating and verifying crystal plasticity material models is a significant challenge, particularly for materials with a number of potential slip and twin systems. Here we use digital image correlation on coarse-grained -uranium during tensile testing in conjunction with crystal plasticity finite element simulations. This approach allows us to determine the critical resolved shear stress, and hardening rate of the different slip and twin systems. The constitutive model is based on dislocation densities as state variables and the simulated geometry is constructed from electron backscatter diffraction images that provide shape, size and orientation of the grains, allowing a direct comparison between virtual and real experiments. An optimisation algorithm is used to find the model parameters that reproduce the evolution of the average strain in each grain as the load is…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
