DocumentCode
995164
Title
Evaluation of hydrogen content in metallic samples by neutron computed tomography
Author
Zanarini, M. ; Chirco, P. ; Rossi, M. ; Baldazzi, G. ; Guidi, G. ; Querzola, E. ; Scannavini, M.G. ; Casali, F. ; Garagnani, A. ; Festinesi, A.
Author_Institution
Dipartimento di Fisica, Bologna Univ., Italy
Volume
42
Issue
4
fYear
1995
fDate
8/1/1995 12:00:00 AM
Firstpage
580
Lastpage
584
Abstract
Neutron radiography is currently a well-known technique, which is employed for non-destructive testing in a number of industrial and environmental applications. Originally developed for reactor fuel examinations, it is now effective in detecting small amounts of corrosion and infiltrations of hydrogen or light materials within thick metallic structures due to the particular behaviour of total neutron cross sections. Nevertheless, improvements related to the development of tomographic systems, which allow far better imaging performances, have been achieved only in the last few years, as a consequence, primarily, of the production of large, charge coupled device (CCD) arrays. Nowadays, neutron computed tomography is the technique most suited for the study of the distribution of hydrogen within metallic matrices. In this field, a series of experimental tests were carried out employing a set of nickel samples containing a H2O-D2O solution in known percentages. It was possible, therefore, to obtain a calibration curve for the total neutron cross section vs. Gray level in the reconstructed image
Keywords
computerised tomography; hydrogen; neutron radiography; nondestructive testing; nuclear chemical analysis; radiography; tomography; calibration curve; corrosion; imaging performances; metallic samples; neutron computed tomography; nondestructive testing; thick metallic structures; total neutron cross section; total neutron cross sections; Corrosion; Fuels; Hydrogen; Inductors; Inorganic materials; Neutrons; Nondestructive testing; Production systems; Radiography; Tomography;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/23.467910
Filename
467910
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