The Proceedings of The Computational Mechanics Conference
Online ISSN : 2424-2799
2018.31
Session ID : 066
Conference information

Molten metal flow coupling non-equilibrium phase-field model simulation using thermodynamics data estimated by machine learning for solidification microstructure evolution
*Sukeharu NOMOTOHiroshi WAKAMEDAMasahito SEGAWAAkinori YAMANAKAToshiyuki KOYAMATomohiro TAKAKI
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract

A multi-phase field (MPF) method coupled with finite interface dissipation proposed by Steinbach et al. is applied to simulate the dendritic solidification affected by molten metal flow in a stainless steel composition system. Thermodynamic calculation using CALPHAD database is replaced by machine learning prediction procedure in this MPF program to reduce computational cost. Solidification calculations are performed in a case of quinary system, Fe–Cr–Mo– Ni–C. Molten metal flow is solved by an incompressible computational fluid dynamics method coupled with MPF equation in the same finite difference grid points. It is confirmed that calculation results are qualitatively reasonable.

Content from these authors
© 2018 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top