An Isotropic Discretization with Semi-implicit Approach for Phase Field Model of Alloy Solidification
Chao Tang, David Taiyen Wu, Siu Sin Quek

TL;DR
This paper introduces a hexagonal mesh discretization strategy combined with a semi-implicit algorithm for phase field models, significantly reducing anisotropy and improving computational efficiency in alloy solidification simulations.
Contribution
It presents a novel isotropic discretization method using a hexagonal mesh and semi-implicit approach, enhancing accuracy and efficiency over existing methods.
Findings
Reduces lattice-induced anisotropy in simulations
Increases accuracy compared to previous discretization methods
Enhances computational efficiency with semi-implicit algorithm
Abstract
Quantitative phase field models have been extensively used to study the solidification behavior of alloys under different conditions. However, a longstanding challenge of phase field models is the directional bias caused by the discretization-induced lattice effects. In particular, widely used discretization methods may introduce significant spurious anisotropy for simulations of polycrystalline solidification. In this paper, we demonstrate a feasible 2D discretization strategy utilizing a hexagonal mesh to reduce the lattice-induced anisotropy of the phase field model. The leading differential terms of the 2D discretization methods are analyzed by using known methods in Fourier space. Using Taylor expansion of discrete Fourier Transform up to sixth order, we found that the proposed discretization strategy is more accurate and isotropic than other methods, including the isotropic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSolidification and crystal growth phenomena · Aluminum Alloy Microstructure Properties
