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Distribution Characteristics of Twin-Boundaries in Three-Dimensional Grain Boundary Network of 316L Stainless Steel |
Tingguang LIU1, Shuang XIA2(), Qin BAI2, Bangxin ZHOU2, Yonghao LU1 |
1 National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China 2 School of Materials Science and Engineering, Shanghai University, Shanghai 200072, China |
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Cite this article:
Tingguang LIU, Shuang XIA, Qin BAI, Bangxin ZHOU, Yonghao LU. Distribution Characteristics of Twin-Boundaries in Three-Dimensional Grain Boundary Network of 316L Stainless Steel. Acta Metall Sin, 2018, 54(10): 1377-1386.
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Abstract Grain boundaries are sources of failure and weakness due to their relatively excess free volume compared to the lattice of polycrystalline materials exposed to aggressive environment. The control of grain boundary degradation has become one of the key issues of materials science and engineering. It has been found that the coincidence site lattice (CSL) boundaries, especially Σ3 (the twin boundaries), have stronger resistance to intergranular degradation than random boundaries. Materials with a high proportion of CSL boundaries that could disrupt the connectivity of random boundaries have better performance to resist intergranular failures. However, the distribution characteristics of twin boundaries in grain boundary network are still unclear. In this work, three-dimensional electron backscatter diffraction (3D-EBSD) was used to map the 3D grain boundary network of a 316L stainless steel. The topological characteristics of triple junction and quadruple junction in the presence of twin boundaries were investigated. The distribution of twin boundaries around grains and grain boundaries was analyzed. The results show that the twin boundary number fraction in the 3D grain boundary network is lower than the measured twin boundary area fraction, indicating that the average area per twin boundary is larger than random boundary. Most of triple junctions in the 316L stainless steel have one twin boundary. The proportion of triple junctions with two twin boundaries is about 9.4%. A quadruple junction has three twin boundaries at most. Most of quadruple junctions have one or two twin boundaries. About 7.9% of quadruple junctions have three twin boundaries. The 3D-EBSD data of 316L includes 1840 grains, 7353 random boundaries and 1824 twin boundaries. On average, a 3D grain in the 3D microstructure has 11 faces (39.85 neighboring faces that includes all boundaries of the grain and all boundaries that connected with the grain by lines or points), in which the number of twin boundaries is 2.03 (8.02) on average. A 3D grain boundary has 9.35 neighboring boundaries, in which the number of twin boundaries is 1.99 on average.
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Received: 12 February 2018
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Fund: Supported by National Natural Science Foundation of China (Nos.51701017 and 51671122), Fundamental Research Funds for the Central Universities (No.FRF-TP-16-041A1) and Beijing Natural Science Foundation (No.2182044) |
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