About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
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Frontiers in Solidification: An MPMD Symposium Honoring Jonathan A. Dantzig
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Presentation Title |
N-11: Development of a Data Assimilation System that Integrates Phase-field Simulation and In-situ X-ray Imaging in Dendrite Growth |
Author(s) |
Ayano Yamamura, Shinji Sakane, Munekazu Ohno, Hideyuki Yasuda, Tomohiro Takaki |
On-Site Speaker (Planned) |
Ayano Yamamura |
Abstract Scope |
The integration of state-of-the-art simulations and experimental techniques is a promising research direction to compensate for the shortcomings of each method and to achieve a better understanding of dendrite growth. In this study, we developed a data assimilation system to integrate the phase-field simulation and in-situ X-ray imaging in dendrite growth. We employed a local ensemble Kalman filter (LEKF) for data assimilation and parallel computing with multiple graphics processing units for adaptive mesh refinement (parallel-GPU AMR) for phase-field simulations. The LEKF reduces the number of ensemble members used in the ensemble Kalman filter, and the parallel-GPU AMR drastically reduces the computational cost of phase-field simulations. We verified the accuracy of the proposed system through numerical experiments, that is, by conducting the so-called twin experiment. In addition, we attempted to apply the developed system to real in-situ X-ray imaging. |
Proceedings Inclusion? |
Planned: |