Host: National Committee for IUTAM
Co-host: The Japan Society of Applied Physics, The Society of Chemical Engineers, Japan, Society of Automotive Engineers of Japan, The Japanese Geotechnical Society, Japan Society of Civil Engineers, The Japan Society for Industrial and Applied Mathematics, Japan Association for Wind Engineering, The Japan Society of Mechanical Engineers, The Meteorological Society of Japan, The Japan Society for Computational Engineering and Science, Japan Society for Computational Methods in Engineering, Architectural Institute of Japan, Atomic Energy Society of Japan, The Japan Society for Aeronautical and Space Sciences, The Japanese Society for Multiphase Flow, Japan Association for Earthquake Engineering, The Mathematical Society of Japan, The Japan Society of Naval Architects and Ocean Engineers, The Heat Transfer Society of Japan, The Physical Society of Japan, The Japan Society of Fluid Mechanics, The Japanese Society of Irrigation, Drainage and Rural Engineering
The phase-field (PF) model has been used for simulating microstructure evolutions in various materials. However, likewise other simulation methods, since the PF model needs immeasurable parameters and unknown simulation conditions, the data assimilation (DA) attracts attention for reproducing realistic microstructure evolution by integrating experimental data to the PF simulation. In this study, we implement the ensemble Kalman filter to two-dimensional PF simulation of dendrite growth in Al-Cu alloy and estimate the strength of interfacial anisotropy which characterizes the morphology of dendrite. Our DA methodology is validated by conducting twin experiments and the true value of the interfacial anisotropy is successfully estimated.