|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||Advanced Characterization Techniques for Quantifying and Modeling Deformation
||Meso-scale Characterization and Strain-gradient Enabled Simulation of the Multi-strain Path Deformation of AA6016-T4
||Rishabh Sharma, Md Zahidul Sarkar, Dane Sargeant, Marko Kenezevic, Michael Miles, David Fullwood
|On-Site Speaker (Planned)
During forming operations, heterogeneous microstructures and complex strain paths lead to local strain gradients and associated backstress resulting from geometrically necessary dislocations (GNDs). At the macro scale, this contributes to springback and Bauschinger effects that must be accounted for in the process design. Accurate incorporation of the effect of the local strain gradients facilitates a better design of forming operations. The current paper reports on a combined mesoscale experimental/simulation study of strain gradient effects during multi-strain path deformation of AA6016-T4. The novel strain gradient elasto-plastic self-consistent (SG-EPSC) model builds on the recently formulated backstress-enabled EPSC. Development of GNDs and related backstresses and hardening at subgrain level will be measured using high-resolution electron backscatter diffraction and high-resolution digital image correlation techniques. A 3D representative volume element for the model will be generated via incremental ion-milling and scanning. The performance of the model at the macro and mesoscale will be experimentally determined.
||Aluminum, Modeling and Simulation