Predicting grain boundary sliding in metallic materials

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Acta Materialia Pub Date : 2025-01-06 DOI:10.1016/j.actamat.2025.120718

Jun-Jing He, Rolf Sandström, Shuai-Rui Lü, Pavel Korzhavyi, Jing Zhang, Hai-Ying Qin, Jia-Bin Liu

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Abstract

Grain boundary sliding (GBS) significantly influences the mechanical properties of polycrystalline metals and alloys. A comprehensive set of GBS data spanning 70 years and encompassing 12 material classes under various deformation conditions has been compiled. Analysis identifies strain (ε) and grain size (d_g) as the primary factors influencing GBS displacement in agreement with a previously developed basic model, revealing a linear dependence of GBS displacement on strain and grain size. A major factor in the model is the strain enhancement factor, i.e., the ratio between the creep strain due to GBS and the total creep strain. Utilizing the average strain enhancement factor from the GBS data (0.2), the model demonstrates predictive capabilities across various materials (Fe, ferritic steels, austenitic steels, Al, Mg, Cu, Zn, and their respective alloys), grain sizes (nanometers to micrometers), and strain levels (0.1-161%) without significant loss in statistical accuracy. Application to creep cavitation further illustrates the usefulness of the model.

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来源期刊

Acta Materialia 工程技术-材料科学：综合

CiteScore

16.10

自引率

8.50%

发文量

801

审稿时长

53 days

期刊介绍： Acta Materialia serves as a platform for publishing full-length, original papers and commissioned overviews that contribute to a profound understanding of the correlation between the processing, structure, and properties of inorganic materials. The journal seeks papers with high impact potential or those that significantly propel the field forward. The scope includes the atomic and molecular arrangements, chemical and electronic structures, and microstructure of materials, focusing on their mechanical or functional behavior across all length scales, including nanostructures.