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优化实验室X射线衍射对比层析成像技术用于纯铁晶粒结构表征

Optimizing laboratory X-ray diffraction contrast tomography for grain structure characterization of pure iron.

作者信息

Lindkvist Adam, Fang Haixing, Juul Jensen Dorte, Zhang Yubin

机构信息

Department of Mechanical Engineering, Technical University of Denmark, Kongens Lyngby, 2800, Denmark.

出版信息

J Appl Crystallogr. 2021 Feb 1;54(Pt 1):99-110. doi: 10.1107/S1600576720014673.

DOI:10.1107/S1600576720014673
PMID:33833643
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7941312/
Abstract

Laboratory diffraction contrast tomography (LabDCT) is a recently developed technique for 3D nondestructive grain mapping using a conical polychromatic beam from a laboratory-based X-ray source. The effects of experimental parameters, including accelerating voltage, exposure time and number of projections used for reconstruction, on the characterization of the 3D grain structure in an iron sample are quantified. The experiments were conducted using a commercial X-ray tomography system, ZEISS Xradia 520 Versa, equipped with a LabDCT module; and the data analysis was performed using the software package , which produces a 3D reconstruction from binarized 2D diffraction patterns. It is found that the exposure time directly affects the background noise level and thus the ability to distinguish weak spots of small grains from the background. With the assistance of forward simulations, it is found that spots from the first three strongest {} families of a large grain can be seen with as few as 30-40 projections, which is sufficient for indexing the crystallographic orientation and resolving the grain shape with a reasonably high accuracy. It is also shown that the electron current is a more important factor than the accelerating voltage to be considered for optimizing the photon numbers with energies in the range of 20-60 keV. This energy range is the most important one for diffraction of common metals, iron and aluminium. Several suggestions for optimizing LabDCT experiments and 3D volume reconstruction are finally provided.

摘要

实验室衍射对比断层扫描(LabDCT)是一种最近开发的技术,用于使用基于实验室的X射线源产生的锥形多色光束进行三维无损晶粒映射。对包括加速电压、曝光时间和用于重建的投影数量在内的实验参数对铁样品中三维晶粒结构表征的影响进行了量化。实验使用配备LabDCT模块的商业X射线断层扫描系统蔡司Xradia 520 Versa进行;数据分析使用软件包进行,该软件包从二值化的二维衍射图案生成三维重建。研究发现,曝光时间直接影响背景噪声水平,从而影响从小晶粒背景中区分弱点的能力。在前向模拟的帮助下,发现大晶粒前三个最强{}晶族的斑点用少至30 - 40个投影就能看到,这足以以相当高的精度确定晶体取向并解析晶粒形状。研究还表明,在优化20 - 60 keV能量范围内的光子数时,电子电流是比加速电压更重要的考虑因素。这个能量范围对于常见金属铁和铝的衍射最为重要。最后提供了一些优化LabDCT实验和三维体积重建的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/a695de8146c4/j-54-00099-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/363636ee6fe7/j-54-00099-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/ca4c907675c7/j-54-00099-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/1e26b06f26f1/j-54-00099-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/11f3a42391ee/j-54-00099-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/3293a19c765e/j-54-00099-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/e4f069bec53e/j-54-00099-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/3e9e777a0216/j-54-00099-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/c62140cddd0e/j-54-00099-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/8fa94f8d0275/j-54-00099-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/a695de8146c4/j-54-00099-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/363636ee6fe7/j-54-00099-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/ca4c907675c7/j-54-00099-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/1e26b06f26f1/j-54-00099-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/11f3a42391ee/j-54-00099-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/3293a19c765e/j-54-00099-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/e4f069bec53e/j-54-00099-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/3e9e777a0216/j-54-00099-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/c62140cddd0e/j-54-00099-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/8fa94f8d0275/j-54-00099-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8122/7941312/a695de8146c4/j-54-00099-fig10.jpg

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