About this Abstract |
Meeting |
2021 TMS Annual Meeting & Exhibition
|
Symposium
|
Algorithm Development in Materials Science and Engineering
|
Presentation Title |
Modeling Static Recrystallization within the SPParKS Kinetic Monte Carlo Framework for Polycrystalline Materials |
Author(s) |
Austin Robert Cole Gerlt, David Newell, Adam Pilchak, Eric Payton |
On-Site Speaker (Planned) |
Austin Robert Cole Gerlt |
Abstract Scope |
A new extension has been developed for the SPParKS kinetic Monte Carlo grain evolution simulator that allows for the simultaneous modeling of static recrystallization, pinning particles, annealing, and curvature-driven grain boundary minimization. Static recrystallization is modeled via the minimization of stored energy at each voxel site, which can be a proxy for either the local stress state and/or density of dislocations. This model was then calibrated using experimentally collected EBSD data from additively manufactured IN718 specimens annealed between 1 and 8 hours at 1160C. The model has been shown to successfully model the recrystallization rate seen in the additively manufactured IN718 parts when both are fit to the JMAK equation, as well as preserving the grain size and aspect ratio expected at each step of the annealing process. |
Proceedings Inclusion? |
Planned: |
Keywords |
Computational Materials Science & Engineering, Modeling and Simulation, Phase Transformations |