About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Aluminum Alloys: Development and Manufacturing
|
| Presentation Title |
Prediction of the texture evolution in AA6016 alloy during deep drawing according to the Visco-Plastic Self-Consistent model |
| Author(s) |
Rahul Rakshit, Benoit Revil-Baudard, Oana Cazacu |
| On-Site Speaker (Planned) |
Rahul Rakshit |
| Abstract Scope |
A computationally efficient way to predict the deformation behavior and texture evolution during sheet metal forming of an aluminum alloy is presented. A two-pronged approach is developed. An orthotropic yield criterion that represents with accuracy the material’s anisotropy and ensures computational efficiency is used to simulate the forming process. The finite-element predicted strains are used to inform the visco-plastic self-consistent (VPSC) crystal plasticity model to predict the texture in different regions of the fully drawn cup. Available data from tensile tests were utilized to determine the anisotropy coefficients associated with the orthotropic model and the slip hardening parameters for the VPSC model, respectively. Using the proposed approach, the evolution of plastic anisotropy during deep drawing process was also systematically studied and comparisons with available textures from various locations on the cup are reported. The good agreement with data shows that this approach leads to accurate results while preserving computational efficiency. |
| Proceedings Inclusion? |
Planned: Light Metals |
| Keywords |
Aluminum, Modeling and Simulation, Computational Materials Science & Engineering |