Version 1
: Received: 29 January 2021 / Approved: 1 February 2021 / Online: 1 February 2021 (14:07:02 CET)
How to cite:
Kamilis, D.; Lee, S.; Desjardins, J.; Polydorides, N. Spectral X-ray CT for Fast NDT Using Discrete Tomography. Preprints2021, 2021020041. https://doi.org/10.20944/preprints202102.0041.v1
Kamilis, D.; Lee, S.; Desjardins, J.; Polydorides, N. Spectral X-ray CT for Fast NDT Using Discrete Tomography. Preprints 2021, 2021020041. https://doi.org/10.20944/preprints202102.0041.v1
Kamilis, D.; Lee, S.; Desjardins, J.; Polydorides, N. Spectral X-ray CT for Fast NDT Using Discrete Tomography. Preprints2021, 2021020041. https://doi.org/10.20944/preprints202102.0041.v1
APA Style
Kamilis, D., Lee, S., Desjardins, J., & Polydorides, N. (2021). Spectral X-ray CT for Fast NDT Using Discrete Tomography. Preprints. https://doi.org/10.20944/preprints202102.0041.v1
Chicago/Turabian Style
Kamilis, D., J. Desjardins and N. Polydorides. 2021 "Spectral X-ray CT for Fast NDT Using Discrete Tomography" Preprints. https://doi.org/10.20944/preprints202102.0041.v1
Abstract
We present progress in fast, high-resolution imaging, material classification, and fault detection using hyperspectral X-ray measurements. Classical X-ray CT approaches rely on data from many projection angles, resulting in long acquisition and reconstruction times. Additionally, conventional CT cannot distinguish between materials with similar densities. However, in additive manufacturing, the majority of materials used are known a priori. This knowledge allows to vastly reduce the data collected and increase the accuracy of fault detection. In this context, we propose an imaging method for non-destructive testing of materials based on the combination of spectral X-ray CT and discrete tomography. We explore the use of spectral X-ray attenuation models and measurements to recover the characteristic functions of materials in heterogeneous media with piece-wise uniform composition. We show by means of numerical simulation that using spectral measurements from a small number of angles, our approach can alleviate the typical deterioration of spatial resolution and the appearance of streaking artifacts.
Keywords
Additive Manufacturing; 3D printing
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
