journal article·2025-02-01Open access

The weak form of the phase-field model for grain growth and its application in numerical simulation

Li Xie, Dan Cai

AIP Advances· Volume 15· Issue 2

Abstract

Grain growth is a fundamental process in materials science, influencing the mechanical and physical properties of polycrystalline materials, including electrical conductivity, thermal conductivity, and corrosion resistance. This study focuses on the classical phase-field model for grain growth, systematically deriving its weak form to facilitate numerical implementation in finite element software. The weak form transforms complex partial differential equations into integral forms suitable for numerical solutions, eliminating the need for custom code development and enabling seamless multi-physics coupling. Numerical simulations were conducted in two-dimensional and three-dimensional settings to validate the model’s feasibility and accuracy. The results demonstrate the consistency of grain growth behavior with classical theories, revealing dynamic grain boundary migration and topological changes. This work not only provides a flexible and efficient framework for phase-field simulations but also offers a practical reference for implementing other phase-field models in finite element methods, paving the way for future advancements in materials science.
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Research context

OpenAlex topics: Solidification and crystal growth phenomena · Aluminum Alloy Microstructure Properties · Metallurgy and Material Forming

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Guilin Institute of Information Technology 1 , Guilin 541004,

Guangxi Key Laboratory of Information Materials, Guangxi Collaborative Innovation Center of Structure and Property for New Energy and Materials, School of Material Science and Engineering, Guilin University of Electronic Technology 2 , Guilin 541004,

Funding

Education Department of Guangxi Zhuang Autonomous Region · Guilin Institute of Information Technology · Guangxi Key Laboratory of Information Materials & Guangxi Collaborative Innovation Center of Structure and Property for New Energy Materials

References (34)

Show source-provided references
1. Phase-field models for microstructure evolution10.1146/annurev.matsci.32.112001.132041 ↗
2. Analysis of grain topology and volumetric growth rate relation in three-dimensional normal grain growth10.1016/j.actamat.2018.04.056 ↗
3. Phase-field model for isothermal phase transitions in binary alloys10.1103/physreva.45.7424 ↗
4. Phase field modeling of defects and deformation10.1016/j.actamat.2009.10.041 ↗
5. Free energy of a nonuniform system. I. Interfacial free energy10.1063/1.1744102 ↗
6. A microscopic theory for antiphase boundary motion and its application to antiphase domain coarsening10.1016/0001-6160(79)90196-2 ↗
7. Quantitative phase-field model of alloy solidification10.1103/physreve.70.061604 ↗
8. Applications of semi-implicit Fourier-spectral method to phase field equations10.1016/s0010-4655(97)00115-x ↗
9. Application of locally one-dimensional semi-implicit scheme in phase-field equations10.1016/j.cpc.2015.03.007 ↗
10. Phase-field models in materials science10.1088/0965-0393/17/7/073001 ↗
11. Phase-field simulation of solidification10.1146/annurev.matsci.32.101901.155803 ↗
12. Characterizing the stabilization size for semi-implicit Fourier-spectral method to phase field equations10.1137/140993193 ↗
13. An efficient algorithm for solving the phase field crystal model10.1016/j.jcp.2008.03.012 ↗
14. Pressure and fluid-driven fracture propagation in porous media using an adaptive finite element phase field model10.1016/j.cma.2016.02.037 ↗
15. A monolithic finite element method for phase-field modeling of fully Eulerian fluid-structure interaction10.1016/j.cma.2024.117618 ↗
16. Topology optimization using PETSc: An easy-to-use, fully parallel, open source topology optimization framework10.1007/s00158-014-1157-0 ↗
17. PetIGA: A framework for high-performance isogeometric analysis10.1016/j.cma.2016.05.011 ↗
18. Benchmarking FEniCS for mantle convection simulations10.1016/j.cageo.2012.05.012 ↗
19. Transfer learning enhanced physics informed neural network for phase-field modeling of fracture10.1016/j.tafmec.2019.102447 ↗
20. An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications10.1016/j.cma.2019.112790 ↗
21. Phase field modeling of quasi-static and dynamic crack propagation: COMSOL implementation and case studies10.1016/j.advengsoft.2018.03.012 ↗
22. Phase field method for the assessment of the new-old billet material interaction during continuous extrusion using COMSOL multiphysics10.1007/s11665-024-10013-8 ↗
23. 2D and 3D Abaqus implementation of a robust staggered phase-field solution for modeling brittle fracture10.1016/j.finel.2017.03.002 ↗
24. Electro-chemo-mechanical phase field modeling of localized corrosion: Theory and COMSOL implementation10.1007/s00366-023-01833-8 ↗
25. An open-source Abaqus implementation of the phase-field method to study the effect of plasticity on the instantaneous fracture toughness in dynamic crack propagation10.1016/j.cma.2020.113004 ↗
26. Non-wetting surface-driven high-aspect-ratio crystalline grain growth for efficient hybrid perovskite solar cells10.1038/ncomms8747 ↗
27. Phase-field modeling and simulation of solid-state phase transformations in steels10.2355/isijinternational.isijint-2022-343 ↗
28. Deep operator network surrogate for phase-field modeling of metal grain growth during solidification10.1016/j.commatsci.2024.113417 ↗
29. Ultra-large-scale phase-field simulation study of ideal grain growth10.1038/s41524-017-0029-8 ↗
30. Injectable host-guest gel nanovaccine for cancer immunotherapy against melanoma10.1016/j.mtadv.2022.100236 ↗
31. Phase field modelling of stressed grain growth: Analytical study and the effect of microstructural length scale10.1016/j.jcp.2013.12.022 ↗
32. Discontinuous dynamic recrystallization and nucleation mechanisms associated with 2-, 3- and 4-grain junctions of polycrystalline nickel-based superalloys10.1016/j.matdes.2023.112041 ↗
33. Computer simulation of grain growth using a continuum field model10.1016/s1359-6454(96)00200-5 ↗
34. Quantitative phase-field approach for simulating grain growth in anisotropic systems with arbitrary inclination and misorientation dependence10.1103/physrevlett.101.025502 ↗