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Positioning of Nuclear Fuel Assemblies by Means of Image Analysis on Tomographic Data
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Radiation Sciences.
2004 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

A tomographic measurement technique for nuclear fuel assemblies has been developed at the Department of Radiation Sciences at Uppsala University [1]. The technique requires highly accurate information about the position of the measured nuclear fuel assembly relative to the measurement equipment. In experimental campaigns performed earlier, separate positioning measurements have therefore been performed in connection to the tomographic measurements.

In this work, another positioning approach has been investigated, which requires only the collection of tomographic data. Here, a simplified tomographic reconstruction is performed, whereby an image is obtained. By performing image analysis on this image, the lateral and angular position of the fuel assembly can be determined. The position information can then be used to perform a more accurate tomographic reconstruction involving detailed physical modeling.

Two image analysis techniques have been developed in this work. The stability of the two techniques with respect to some central parameters has been studied. The agreement between these image analysis techniques and the previously used positioning technique was found to meet the desired requirements. Furthermore, it has been shown that the image analysis techniques offer more detailed information than the previous technique. In addition, its off-line analysis properties reduce the need for valuable measurement time.

When utilizing the positions obtained from the image analysis techniques in tomographic reconstructions of the rod-by-rod power distribution, the repeatability of the reconstructed values was improved. Furthermore, the reconstructions resulted in better agreement to theoretical data.

Place, publisher, year, edition, pages
2004. , 33 p.
Series
UPTEC IT, ISSN 1401-5749 ; 04 034
Keyword [en]
gamma tomography, image analysis, nuclear fuel
National Category
Computer and Information Science Subatomic Physics
Identifiers
URN: urn:nbn:se:uu:diva-259964OAI: oai:DiVA.org:uu-259964DiVA: diva2:845977
Educational program
Master of Science Programme in Information Technology Engineering
Supervisors
Examiners
Available from: 2015-10-02 Created: 2015-08-13 Last updated: 2015-10-02Bibliographically approved

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CiteExportLink to record
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