Full spectrum of grain boundary energy landscape in phase-field simulation of polygrain structures

Abstract In this study, we examine grain boundary energy as a function of both misorientation and inclination using a phase-field approach. Through systematic investigation of their independent and combined influence, we observe that misorientation appears to influence energetic preferences, with an increased frequency (approximately 35%) of low-angle boundaries (0–5 ∘ ), while inclination tends to affect local boundary geometry, with boundary planes showing preference for 45–50 ∘ inclination angles. Our simulations suggest that while inclination dependence influences boundary morphology, the combined effect leads to morphological features including elongated grains and distinctive growth kinetics. Notably, inclination-dominated cases show slower growth rates compared to isotropic or misorientation-dependent systems, though misorientation-dependent cases exhibit faster decrease in interface energy density. The model’s behavior is examined through studies of facet formation in cubic systems and configurations at multiple grain junctions. Statistical analysis of two-dimensional polycrystalline systems indicates that the interaction between misorientation and inclination may be more intricate than previously considered, suggesting potential value in incorporating both factors when studying anisotropic grain growth. These observations contribute to our developing understanding of microstructural evolution in polycrystalline materials.

Authors

Institutions

Publication Details

Journal
Modelling and Simulation in Materials Science and Engineering
Published
2025-04-15
DOI
https://doi.org/10.1088/1361-651x/adcce1
Primary Topic
Metallurgy and Material Forming
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Full spectrum of grain boundary energy landscape in phase-field simulation of polygrain structures

Hesham Salama, Ingo Steinbach, Shiddhartha Ramprakash
Modelling and Simulation in Materials Science and Engineering
Metallurgy and Material Forming
article

Full spectrum of grain boundary energy landscape in phase-field simulation of polygrain structures

Hesham Salama, Ingo Steinbach, Shiddhartha Ramprakash
article en

Abstract

Abstract In this study, we examine grain boundary energy as a function of both misorientation and inclination using a phase-field approach. Through systematic investigation of their independent and combined influence, we observe that misorientation appears to influence energetic preferences, with an increased frequency (approximately 35%) of low-angle boundaries (0–5 ∘ ), while inclination tends to affect local boundary geometry, with boundary planes showing preference for 45–50 ∘ inclination angles. Our simulations suggest that while inclination dependence influences boundary morphology, the combined effect leads to morphological features including elongated grains and distinctive growth kinetics. Notably, inclination-dominated cases show slower growth rates compared to isotropic or misorientation-dependent systems, though misorientation-dependent cases exhibit faster decrease in interface energy density. The model’s behavior is examined through studies of facet formation in cubic systems and configurations at multiple grain junctions. Statistical analysis of two-dimensional polycrystalline systems indicates that the interaction between misorientation and inclination may be more intricate than previously considered, suggesting potential value in incorporating both factors when studying anisotropic grain growth. These observations contribute to our developing understanding of microstructural evolution in polycrystalline materials.

Modelling and Simulation in Materials Science and EngineeringVol. 33(4)
The Ohio State University (US), Ruhr University Bochum (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 92%
Metallurgy and Material Forming
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.