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Comparison of microstructure characterization methods by two-point correlation functions and reconstruction of 3D microstructures using 2D TEM images with high degree of phase clustering
Materials Characterization ( IF 4.7 ) Pub Date : 2021-01-05 , DOI: 10.1016/j.matchar.2021.110876
Se-Yun Kim , Ji-Su Kim , Jae Hun Lee , Jong Hak Kim , Tong-Seok Han

Microstructural characterization methods and their performance in virtual microstructure reconstruction were investigated using two-phase Pebax/PBE membranes. In this study, the microstructural characteristics of two-phase Pebax/PBE membranes with random phase distribution were obtained from two-dimensional (2D) transmission electron microscopy (TEM) images to reconstruct three-dimensional (3D) virtual microstructures. The microstructural characteristics of the 2D TEM images with different volume fractions were expressed using a two-point correlation function (P2) and cooccurrence correlation functions (CCFs), and the results were compared. Virtual 3D microstructures were reconstructed through a stochastic optimization process using CCFs obtained from 2D TEM images of the membranes. This study further investigated and evaluated the effects of phase clustering on probabilistic functions, namely, P2 and CCFs. It is confirmed that CCFs accurately represent the characteristics of microstructures with a high degree of phase clustering and that virtual 3D samples can be effectively reconstructed using CCFs obtained from 2D images.



中文翻译:

通过两点相关函数比较微观结构表征方法,并使用具有高度相簇的2D TEM图像重建3D微观结构

使用两相Pebax / PBE膜研究了微结构表征方法及其在虚拟微结构重建中的性能。在这项研究中,从二维(2D)透射电子显微镜(TEM)图像获得具有随机相分布的两相Pebax / PBE膜的显微结构特征,以重建三维(3D)的虚拟显微结构。使用两点相关函数(P 2表示不同体积分数的2D TEM图像的显微结构特征)和共现相关函数(CCF),并比较结果。虚拟3D微观结构是通过随机优化过程使用从膜的2D TEM图像获得的CCF重建的。这项研究进一步调查和评估了相位聚类对概率函数P 2和CCF的影响。可以肯定的是,CCF可以准确地表示具有高度相簇的微结构的特征,并且可以使用从2D图像获得的CCF来有效地重建虚拟3D样本。

更新日期:2021-01-13
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