About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
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Computational Thermodynamics and Kinetics
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Presentation Title |
Investigation of Phase-field Data Assimilation System Using In-situ Observation Results Obtained during Dendrite Growth in Thin Films |
Author(s) |
Yuki Imai, Tomohiro Takaki, Shinji Sakane, Munekazu Ohno, Hideyuki Yasuda |
On-Site Speaker (Planned) |
Yuki Imai |
Abstract Scope |
The phase-field method has been used extensively as it is a powerful numerical model that can predict dendrite growth during alloy solidification. However, this method possesses a significant disadvantage in that the material properties, such as the interface energy and its anisotropy, which are required for the phase-field simulation, have not been sufficiently determined. With the recent development of numerical techniques for the modelling of dendrite growth, it has now become possible to perform simulations at the same scale as in in-situ X-ray observation. In this study, we investigated the phase-field data assimilation system, employing which multiple phase-field simulations were performed simultaneously on the basis of the Bayesian inference using results obtained via in-situ X-ray observations. During the simulations, the unknown parameters were expected to gradually approach their true values. We used the in-situ observation results obtained during the directional solidification of Fe-Si in thin films as the observation data. |
Proceedings Inclusion? |
Planned: |
Keywords |
Solidification, Computational Materials Science & Engineering, Thin Films and Interfaces |