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2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Latest News
NRC grants Clinton and Dresden license renewals
Three commercial power reactors across two Illinois nuclear power plants—Constellation’s Clinton and Dresden—have had their licenses renewed for 20 more years by the Nuclear Regulatory Commission.
Brian M. Patterson, Steven G. Young, Tana Morrow, Thomas Day, Derek Schmidt, Nikolaus L. Cordes
Fusion Science and Technology | Volume 79 | Number 7 | October 2023 | Pages 895-906
Research Article | doi.org/10.1080/15361055.2023.2185030
Articles are hosted by Taylor and Francis Online.
X-ray computed tomography (CT) is widely used in material science to understand the inner morphology of a specimen. Often, it is used to qualitatively understand the distribution of salient features such as cracks, voids, or particles. There are many challenges in using X-ray CT in a quantitative manner. These include a coarser resolution for comparable fields of view when compared to other imaging techniques (i.e., electron or optical microscopy), imaging artifacts (i.e., beam hardening and phase contrast), and the plethora of imaging and processing parameters that are chosen by the instrument/software user that can significantly affect the resultant measures. These limitations must be considered and quantified to acquire accurate and precise measurements. X-ray CT is powerful in that it can measure, in three dimensions, salient features that are subsurface and cannot be imaged with other direct line-of-sight imaging techniques. In this work, we discuss the use of X-ray CT to measure the thickness variations of thin walls of opacity capsules as well as the measurement of double-shell targets to understand the concentricity of the capsules within each other. Morphological measurements needed for target characterization require very high accuracy and precision. This paper will describe the application for the first time of a variety of measurements and will explore their robustness and pros and cons to identify areas of research to improve their accuracy and precision.