EUROPEAN CONGRESS AND EXHIBITION ON ADVANCED MATERIALS AND PROCESSES - EUROMAT 2021

Dendrite growth is the key to understand the formation process of solidification structures. Significant contributions from many previous studies have been gradually revealing the detailed mechanism of dendrite growth. In particular, recent in-situ observations using X-ray diffraction and quantitative phase-field simulations are very powerful schemes for understanding dendrite growth in alloys. On the other hand, even with such state-of-the-art technologies, some serious problems remain, such as spatiotemporal resolution in in-situ observations and material parameters in phase-field simulations. One of the promising approaches to overcome these problems is to use data science to combine experimental observations and phase-field simulations. In a previous study, Ohno et al. developed a new method for obtaining interface parameters from molecular dynamics simulations using data assimilation and phase-field simulations [Phys. Rev. E, 101 (2020) 052121]. Using the data assimilation, we will integrate the in-situ observation and phase-field simulation. In this study, we perform the preliminary development of the data assimilation system using the phase field method in two-dimensional columnar dendrite growth during directional solidification of binary alloys. The developed system is validated through twin experiment.