Reconstruction of heterogeneous materials via stochastic optimization of limited-angle X-ray tomographic projections

被引：15
|
作者：
Li, Hechao [1 ]
Chawla, Nikhilesh [1 ]
Jiao, Yang [1 ]
机构：
[1] Arizona State Univ, Tempe, AZ 85287 USA
来源：
SCRIPTA MATERIALIA | 2014年 / 86卷
基金：
美国国家科学基金会;
关键词：
Stochastic reconstruction; Material microstructure; Limited-angle projections; X-ray tomography; MATRIX COMPOSITES; MICROSTRUCTURE; COALESCENCE; ALGORITHM; EVOLUTION; GROWTH; BINARY; ALLOY; SETS;
D O I：
10.1016/j.scriptamat.2014.05.002
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
X-ray tomography has provided a non-destructive means for microstructure characterization in three and four dimensions. A stochastic procedure to accurately reconstruct material microstructure from limited-angle X-ray tomographic projections is presented and its utility is demonstrated by reconstructing a variety of distinct heterogeneous materials and elucidating the information content of different projection data sets. A small number of projections (e.g. 20-40) are necessary for accurate reconstructions via the stochastic procedure, indicating its high efficiency in using limited structural information. (C) 2014 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：48 / 51
页数：4
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