A Forward Modeling Approach to High-Reliability Grain Mapping by Laboratory Diffraction Contrast Tomography (LabDCT)

被引：22

作者：

Niverty, Sridhar ^{[1
]}

Sun, Jun ^{[2
]}

Williams, Jason ^{[1
]}

Bachmann, Florian ^{[2
]}

Gueninchault, Nicolas ^{[2
]}

Lauridsen, Erik ^{[2
]}

Chawla, Nikhilesh ^{[1
]}

机构：

[1] Arizona State Univ, Ctr 4D Mat Sci Mat Sci & Engn, 501 E Tyler Mall,ECG 303, Tempe, AZ 85287 USA

[2] Xnovo Technol ApS, Theilgaards 9 1th, DK-4600 Koge, Denmark

来源：

JOM | 2019年 / 71卷 / 08期

关键词：

FATIGUE-CRACK GROWTH; X-RAY MICROTOMOGRAPHY; LOCALIZED CORROSION; BOUNDARY CHARACTER; 3D; MICROSTRUCTURE; PARTICLES; ALLOYS; LAPLACIAN; BEAM;

D O I：

10.1007/s11837-019-03538-0

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Laboratory diffraction contrast tomography (LabDCT) is a laboratory-scale x-ray microtomography technique that can be used to non-destructively map grains and grain boundaries in 3D. The fidelity of grain mapping significantly depends on the quality of grain reflections obtained from the illuminated volume of the specimen. In this article, we report the application of a novel forward modeling approach to improve the reliability of grain mapping. Through this approach, a comparison between the obtained grain reflections and simulated grain reflections can be used to perform a self-fitting operation. This can be used to optimize instrumental parameters and iteratively improve the quality of reconstruction. To demonstrate the effectiveness of the forward modeling approach, LabDCT was used to map the grains in a polycrystalline specimen of the magnesium alloy AZ91E and iteratively improve reconstruction quality significantly.

引用

页码：2695 / 2704

页数：10

共 49 条

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