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Restart progress and a new task force in Iowa
This week, Iowa Gov. Kim Reynolds signed an executive order to form the Iowa Nuclear Energy Task Force, the purpose of which will be to “advise her, the General Assembly, and relevant state agencies on the development and advancement of nuclear energy technologies and infrastructure in the state.”
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.