| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Algorithm Development in Materials Science and Engineering
|
| Presentation Title |
A Self-consistent Parametric Homogenization Framework for Fatigue in Ni-based Superalloys |
| Author(s) |
George R. Weber, Somnath Ghosh, Maxwell Pinz |
| On-Site Speaker (Planned) |
George R. Weber |
| Abstract Scope |
A framework to determine higher-scale constitutive laws as functions of microstructural properties is developed for Ni-based superalloy Rene88-DT γ-γ’ microstructures and is generalizable to most multiscale problems. A dislocation density-based crystal-plasticity finite-element model, at the scale of subgrain microstructures containing γ’-precipitates in a γ-matrix within a single crystal, is implemented to incorporate micromechanical effects of precipitate-precipitate interactions. This model is complemented with a stochastic, statistically-equivalent microstructure generator that instantiates meshed microstructures from distributions of subgrain morphological descriptors. These instantiations are embedded in a homogenized medium and simulated with the crystal plasticity model, employing a handshake region to accurately capture evolving boundary conditions near the homogeneous-heterogeneous boundary. Self-consistency is achieved through a directed search of the parameter space of the homogenized model, informed by a reduced-order machine learning methodology. This framework effectively incorporates the lower-scale mechanics into the higher-scale simulation, providing insights into multiscale mechanisms and design implications for materials processing. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |