Analysis of polycrystalline microstructure of AlMgSc alloy observed by 3D EBSD

IF 0.8 4区 计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
J. Kopeček, J. Stanek, S. Habr, F. Seitl, L. Petrich, V. Schmidt, V. Beneš
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引用次数: 5

Abstract

The aim of this paper is to evaluate an ambitious imaging experiment and to contribute to the methodology of statistical inference of the three-dimensional microstructure of polycrystalline materials. The microstructure of the considered Al-3Mg-0.2Sc alloy was investigated by three-dimensional electron backscattered diffraction (3D-EBSD), i.e., tomographic imaging with xenon plasma focused ion beam (Xe-FIB) alongside EBSD. The samples were subjected to severe plastic deformations by equal channel angular pressing (ECAP) and annealed subsequently prior to the mapping. First we compared the misorientation level needed for a reliable segmentation of grains distinguishing between conventional evaluation of two-dimensional cuts and the 3D data set. Then, using methods of descriptive spatial statistics, various morphological characteristics of a large number of grains were analyzed, as well as the crystallographic texture and the spatial distribution of grain boundaries. According to the results stated so far in the literature, an even microstructure was expected, nevertheless local inhomogeneities in grains and grain boundaries with regard to their size, texture and spatial distribution were observed and justified.
三维EBSD观察AlMgSc合金的多晶组织分析
本文的目的是评估一个雄心勃勃的成像实验,并为多晶材料三维微观结构的统计推断方法做出贡献。利用三维电子背散射衍射(3D-EBSD),即氙等离子体聚焦离子束(Xe-FIB)的层析成像技术,研究了Al-3Mg-0.2Sc合金的显微组织。样品通过等通道角压(ECAP)进行严重的塑性变形,并在随后的映射之前进行退火。首先,我们比较了在传统的二维切割评估和三维数据集之间进行可靠的颗粒分割所需的错误取向水平。然后,利用描述性空间统计的方法,分析了大量晶粒的各种形态特征,以及晶体织构和晶界的空间分布。根据目前文献中所述的结果,期望具有均匀的微观结构,然而观察到并证明了晶粒和晶界在尺寸,质地和空间分布方面的局部不均匀性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Image Analysis & Stereology
Image Analysis & Stereology MATERIALS SCIENCE, MULTIDISCIPLINARY-MATHEMATICS, APPLIED
CiteScore
2.00
自引率
0.00%
发文量
7
审稿时长
>12 weeks
期刊介绍: Image Analysis and Stereology is the official journal of the International Society for Stereology & Image Analysis. It promotes the exchange of scientific, technical, organizational and other information on the quantitative analysis of data having a geometrical structure, including stereology, differential geometry, image analysis, image processing, mathematical morphology, stochastic geometry, statistics, pattern recognition, and related topics. The fields of application are not restricted and range from biomedicine, materials sciences and physics to geology and geography.
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