| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Phase Transformations and Microstructural Evolution
|
| Presentation Title |
Data Assimilation-based Approach to Estimate Grain Boundary Properties Using Phase-field Grain Growth Simulations |
| Author(s) |
Eisuke Miyoshi, Tomohiro Takaki, Yasushi Shibuta, Munekazu Ohno |
| On-Site Speaker (Planned) |
Eisuke Miyoshi |
| Abstract Scope |
In actual materials, the energy and mobility of grain boundaries are usually strongly anisotropic, taking different values for each boundary. Such anisotropies in boundary properties are of great importance for predicting and controlling the microstructural evolution of the materials. However, detailed data for the anisotropic properties is still not obtained. This lack of data is attributable to the limitation of conventional measurement methods for grain boundary properties, in which only the product of boundary energy and mobility (i.e. reduced mobility) can be determined.This study proposes a novel framework to estimate anisotropic grain boundary properties via the ensemble Kalman filter-based data assimilation for phase-field simulations, with atomistic simulations or experiments as the observation data. The method allows for separately computing boundary energies and mobilities by calibrating the phase-field input parameters based on the Bayesian inference. Through a series of numerical tests, the validity of the method is examined in detail. |
| Proceedings Inclusion? |
Planned: |