Open AccessNeutron tomography using projection data obtained by Monte Carlo simulation for nondestructive evaluation
Author(s) -
A. X. da Silva,
V.R. Crispim
Publication year - 2002
Publication title -
revista brasileira de ciências mecânicas
Language(s) - English
Resource type - Journals
ISSN - 0100-7386
DOI - 10.1590/s0100-73862002000400009
Subject(s) - tomography , monte carlo method , projection (relational algebra) , neutron , neutron imaging , tomographic reconstruction , nondestructive testing , computer science , industrial computed tomography , algorithm , materials science , medical physics , physics , optics , mathematics , nuclear physics , statistics , quantum mechanics
This work present the application of a computer package for generating of projection data for neutron computerized tomography, and in second part, discusses an application of neutron tomography, using the projection data obtained by Monte Carlo technique, for the detection and localization of light materials such as those containing hydrogen, concealed by heavy materials such as iron and lead. For tomographic reconstructions of the samples simulated use was made of only six equal projection angles distributed between 0º and 180º, with reconstruction making use of an algorithm (ARIEM), based on the principle of maximum entropy. With the neutron tomography it was possible to detect and locate polyethylene and water hidden by lead and iron (with 1cm-thick). Thus, it is demonstrated that thermal neutrons tomography is a viable test method which can provide important interior information about test components, so, extremely useful in routine industrial applications