A statistical analysis of grain boundary energy anisotropy in body-centered cubic metal

Abstract Grain boundary (GB) energy plays a crucial role in determining the physical and mechanical properties of polycrystalline materials, making it a key factor in the optimization of materials through GB engineering. This study computes the energies of 12,062 tilt and twist GBs in body-centered cubic (BCC) Fe using atomistic simulation. The resulting dataset facilitates a statistical analysis of GB energy anisotropy and comparison with those already revealed in face-centered cubic (FCC) Al. Results indicate that the energies of tilt and twist GBs in Fe overall increase with misorientation angle ( θ ) before plateauing. Tilt GB energies decrease as the misorientation axis ( O ) shifts from the center to edges and then to corners of the stereographic triangle, while twist GB energies vary smoothly, with a notable energy valley near 〈110〉 axis. The GB-plane orientation ( n ) dependency of boundary energy should be interpreted from the view of the surface energy corresponding to GB-plane. The relative significance of crystallographic parameters to GB energy is ranked as θ > n >> O , with the coincidence index primarily identifying local energy cusps on the energy versus angle curve. Trends in GB energy relative to crystallography in BCC structures highly resemble those in FCC structures. However, it seems impossible to determine a specific scaling factor between GB energies in two structures or correlate this factor with any material properties. This study can provide crucial data for GB energy fitting and simulations of thermodynamic behaviors related to GBs.

Authors

Institutions

Publication Details

Journal
Physica Scripta
Published
2025-04-02
DOI
https://doi.org/10.1088/1402-4896/adc84f
Citations
1
Primary Topic
Microstructure and mechanical properties
Type
article
Field-Weighted Citation Impact
0.52

Funders

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

A statistical analysis of grain boundary energy anisotropy in body-centered cubic metal

Wenhui Liu, Qingjie Wu, Liang Yang, Lijun Zeng et al.
1 citations
Physica Scripta
Microstructure and mechanical properties
0.52
article

A statistical analysis of grain boundary energy anisotropy in body-centered cubic metal

Wenhui Liu, Qingjie Wu, Liang Yang, Lijun Zeng, C. C. Lai
article en
1 citations

Abstract

Abstract Grain boundary (GB) energy plays a crucial role in determining the physical and mechanical properties of polycrystalline materials, making it a key factor in the optimization of materials through GB engineering. This study computes the energies of 12,062 tilt and twist GBs in body-centered cubic (BCC) Fe using atomistic simulation. The resulting dataset facilitates a statistical analysis of GB energy anisotropy and comparison with those already revealed in face-centered cubic (FCC) Al. Results indicate that the energies of tilt and twist GBs in Fe overall increase with misorientation angle ( θ ) before plateauing. Tilt GB energies decrease as the misorientation axis ( O ) shifts from the center to edges and then to corners of the stereographic triangle, while twist GB energies vary smoothly, with a notable energy valley near 〈110〉 axis. The GB-plane orientation ( n ) dependency of boundary energy should be interpreted from the view of the surface energy corresponding to GB-plane. The relative significance of crystallographic parameters to GB energy is ranked as θ > n >> O , with the coincidence index primarily identifying local energy cusps on the energy versus angle curve. Trends in GB energy relative to crystallography in BCC structures highly resemble those in FCC structures. However, it seems impossible to determine a specific scaling factor between GB energies in two structures or correlate this factor with any material properties. This study can provide crucial data for GB energy fitting and simulations of thermodynamic behaviors related to GBs.

Physica ScriptaVol. 100(5)
Jimei University (CN), Hunan Vocational Institute of Technology (CN), Hunan University of Technology (CN), Nanchang Hangkong University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 40%
Microstructure and mechanical properties
0.52
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.