Phase-field model for anisotropic grain growth

Staublin, P.; Mukherjee, Arnab; Warren, James A.; Voorhees, Peter W.

doi:10.1016/j.actamat.2022.118169

Cited by 8 publications

(5 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even without such high forces, the model can enhance simulations by enabling scale-up towards the temporal and spatial scale of the manufacturing process. Future work should focus on extending the model to include the effect of anisotropy of the interfacial energy (such as in the work of Minar et al [47] , Torabi et al [48] or Staublin et al [49]) and coupling the modified Allen-Cahn equation with the Cahn-Hilliard or diffusion equation to simulate the evolution of conserved variables such as concentration. The modifications proposed in this work should not significantly affect the coupling between the two equations.…”

Section: Discussionmentioning

confidence: 99%

Quantitative high driving force phase-field model for multi-grain structures

Feyen

Moelans

2023

Acta Materialia

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Quantitative high driving force phase-field model for multi-grain structures

Feyen

Moelans

2023

Acta Materialia

View full text Add to dashboard Cite

“…In order to visually display the microstructure represented by orientation field variables, the following function is defined [ 24 ]:

…”

Section: Model Descriptionmentioning

confidence: 99%

“…The advantages of numerical simulation techniques have been gradually highlighted with the progress of science and technology, and the use of computer technology to study modern science has become a proven scientific aid [15]. Many computational models have been used in the material research, such as the Front tracking models [16][17][18], Monte Carlo models [19][20][21][22], and phase field simulations [23,24], etc.…”

Section: Introductionmentioning

confidence: 99%

Phase Field Simulation of the Effect of Second Phase Particles with Different Orientations on the Microstructure of Magnesium Alloys

Wu,

Xiong,

Wang

et al. 2023

Materials

View full text Add to dashboard Cite

In this study, the phase field method has been used to study the effect of second phase particles with different shapes and different orientations on the grain growth of AZ31 magnesium alloy, after annealing at 350 °C for 100 min. The results show that the shape of the second phase particles would have an effect on the grain growth; the refinement effect of elliptical particles and rod-shaped particles was similar, and better than the spherical particles; the spatial arrangement direction of the second phase particles had no significant effect on the grain growth. On the other hand, when the microstructure of AZ31 magnesium alloy contained second phase particles with different shapes, the effect of mixing different shapes of second phase particles on the grain refinement was enhanced gradually with the decrease im the volume fraction of spherical particles.

show abstract

“…The subject of grain growth has been studied using both analytical (e.g., [21][22][23][24]) and full-field numerical approaches (e.g., [25][26][27][28]). Generally, the analytical approaches average the microstructure based on the statistical information from microstructural features, while the full-field approaches explicitly describe the microstructure based on its building blocks, such as grains and their interfaces, which allows for more sophisticated assumptions and more accurate predictions.…”

Section: Introductionmentioning

confidence: 99%

Large-Scale Multi-Phase-Field Simulation of 2D Subgrain Growth

Khajezade,

Poole,

Greenwood

et al. 2024

Metals

View full text Add to dashboard Cite

The characteristics of subgrains in a deformed state after the high-temperature deformation of aluminum alloys control the subsequent recrystallization process and corresponding mechanical properties. In this study, systematic 2D phase-field simulations have been conducted to determine the role of deformed state parameters such as subgrain size and disorientation distributions on subgrain growth in an individual grain representing a single crystallographic orientation. The initial subgrain size and disorientation distributions have been varied by ±50%. To have a statistically relevant number of subgrains, large-scale simulations have been conducted using an in-house-developed phase-field code that takes advantage of distributed computing. The results of these simulations indicate that the growth of subgrains reaches a self-similar regime regardless of the initial subgrain structure. A narrower initial subgrain size distribution leads to faster growth rates, but it is the initial disorientation distribution that has a larger impact on the growth of subgrains. The results are discussed in terms of the evolution of the average diameter of subgrains and the average disorientation in the microstructure.

show abstract

Phase-field model for anisotropic grain growth

Cited by 8 publications

References 45 publications

Quantitative high driving force phase-field model for multi-grain structures

Quantitative high driving force phase-field model for multi-grain structures

Phase Field Simulation of the Effect of Second Phase Particles with Different Orientations on the Microstructure of Magnesium Alloys

Large-Scale Multi-Phase-Field Simulation of 2D Subgrain Growth

Contact Info

Product

Resources

About