TY - JOUR
T1 - An ordered active parameter tracking method for efficient multiphase field simulations
AU - Sitompul, Yos Panagaman
AU - Aoki, Takayuki
AU - Watanabe, Seiya
AU - Takaki, Tomohiro
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/10
Y1 - 2022/10
N2 - The multiphase field (MPF) method has been widely used for microstructural evolution and immiscible multiphase flow simulations. In this study, we have developed an ordered active parameter tracking (OAPT) method for efficient simulations of the multiple phases using the MPF method. The algorithm and performance of the OAPT method are presented and compared to those of the conventional active parameter tracking (CAPT) method. The grain growth problems were simulated for demonstration, and the results show good agreement with the conventional one and about four to seven-fold performance improvement. Moreover, we demonstrate the application of the proposed method for the multiphase flow problem, namely the turbulent bubbly downflow. The OAPT method can speed up the calculation by four folds while maintaining the original accuracy.
AB - The multiphase field (MPF) method has been widely used for microstructural evolution and immiscible multiphase flow simulations. In this study, we have developed an ordered active parameter tracking (OAPT) method for efficient simulations of the multiple phases using the MPF method. The algorithm and performance of the OAPT method are presented and compared to those of the conventional active parameter tracking (CAPT) method. The grain growth problems were simulated for demonstration, and the results show good agreement with the conventional one and about four to seven-fold performance improvement. Moreover, we demonstrate the application of the proposed method for the multiphase flow problem, namely the turbulent bubbly downflow. The OAPT method can speed up the calculation by four folds while maintaining the original accuracy.
KW - Active parameter tracking
KW - Multiphase field model
KW - Ordered packing scheme
UR - http://www.scopus.com/inward/record.url?scp=85137170627&partnerID=8YFLogxK
U2 - 10.1016/j.jocs.2022.101834
DO - 10.1016/j.jocs.2022.101834
M3 - Article
AN - SCOPUS:85137170627
SN - 1877-7503
VL - 64
JO - Journal of Computational Science
JF - Journal of Computational Science
M1 - 101834
ER -