Data assimilation for phase-field simulations of the formation of eutectic alloy microstructures

被引：1

作者：

Seguchi, Yusuke ^{[1
]}

Okugawa, Masayuki ^{[1
]}

Zhu, Chuanqi ^{[1
]}

Yamanaka, Akinori ^{[2
]}

Koziumi, Yuichiro ^{[1
]}

机构：

[1] Osaka Univ, Grad Sch Engn, Div Mat & Mfg Sci, 2-1 Yamadaoka, Suita, Osaka 5650871, Japan

[2] Tokyo Univ Agr & Technol, Dept Mech Syst Engn, 2-24-16 Naka Cho, Koganei, Tokyo 1848588, Japan

来源：

COMPUTATIONAL MATERIALS SCIENCE | 2024年 / 237卷

基金：

日本科学技术振兴机构;

关键词：

Eutectic alloy; Phase-field method; One-directional solidification; Data assimilation; Ensemble Kalman filter; IN-SITU MEASUREMENTS; RAPID SOLIDIFICATION; GROWTH; MECHANISM; SYSTEM; MODEL;

D O I：

10.1016/j.commatsci.2024.112910

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The phase-field (PF) method can effectively predict the formation of microstructures of eutectic alloys. However, numerous simulation parameters must be determined correctly for each alloy system to reproduce the experimentally observed microstructures. In this study, we present a data assimilation method based on an ensemble Kalman filter to determine PF simulation parameters for the directional solidification of eutectic alloy by optimizing the conditions for data assimilation. Numerical twin experiments revealed that eutectic microstructures can be reproduced, although four PF simulation parameters remained unknown. We also investigated appropriate experimental observation conditions for estimating the simulation parameters and found that the sufficient frequency of observations can be determined from the solid-liquid interfacial velocity. Our results provide guidance for data assimilation combined with the PF simulations of eutectic alloys. Moreover, our study provides a deeper understanding of the formation mechanisms of various types of eutectic microstructures.

引用

页数：12