| About this Abstract |
| Meeting |
NUMISHEET 2022: The 12th International Conference on Numerical Simulation of 3D Sheet Metal Forming Processes
|
| Symposium
|
NUMISHEET 2022
|
| Presentation Title |
Predictive Capabilities of a New Polycrystalline Model for Forming Operations |
| Author(s) |
Benoit Revil-Baudard, Oana Cazacu, Nitin Chandola |
| On-Site Speaker (Planned) |
Oana Cazacu |
| Abstract Scope |
A major challenge in forming polycrystalline aluminum alloy sheets is their strong plastic anisotropy, namely the flow stresses and plastic strains depend on the loading direction. This plastic anisotropy is due to the anisotropy of the constituent crystals and the preferred orientations that they assume in the polycrystalline material i.e., crystallographic texture. In this paper, we illustrate the capabilities of a recent polycrystalline model and its implementation into a finite-element framework to describe the plastic anisotropy in the response in laboratory tests for various loading paths (e.g. uniaxial tension, shear). Moreover, it is shown that the model can predict with accuracy the influence of anisotropy in deep-drawing operations on aluminum alloys at a reasonable computational cost. |
| Proceedings Inclusion? |
Definite: At-meeting proceedings |