Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : November 16, 2022 - November 18, 2022
Various properties of sintered materials strongly depend on their microstructure. Thus, prediction of the microstructural evolutions in the sintering process leads to improve the properties. A phase-field (PF) simulation of solid-state sintering is powerful to predict the microstructural evolution. However, the PF simulation requires material parameters that are largely unknown. On the other hand, data assimilation has attracted attention as an effective methodology to estimate unknown states and parameters. Therefore, in this study, we apply a non-sequential data assimilation method named DMC-BO to the PF simulation of the solid-state sintering to estimate unknown material parameters and improve the prediction accuracy. To validate the application of DMC-BO to the PF simulation of the solid-state sintering, a numerical experiment is conducted. Through the numerical experiment, we demonstrated that the DMC-BO can improve the prediction accuracy of the microstructural evolution in the solid-state sintering process by simultaneously estimating multiple diffusion coefficients and mobilities with reasonable accuracy. Moreover, the result shows the DMC-BO requires a low computational cost for obtaining the estimation.
