Determination of defect depth in industrial radiography imaging using MCNP code and SuperMC software

Autor: Abdollah Khorshidi, Behzad Khosrowpour, S. Hamed Hosseini
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nuclear Engineering and Technology, Vol 52, Iss 7, Pp 1597-1601 (2020)
Druh dokumentu: article
ISSN: 1738-5733
DOI: 10.1016/j.net.2019.12.010
Popis: Background: Non-destructive evaluation of defects in metals or composites specimens is a regular method in radiographic imaging. The maintenance examination of metallic structures is a relatively difficult effort that requires robust techniques for use in industrial environments. Methods: In this research, iron plate, lead marker and tungsten defect with a 0.1 cm radius in spherical shape were separately simulated by MCNP code and SuperMC software. By 192Ir radiation source, two exposures were considered to determine the depth of the actual defined defect in the software. Also by the code, displacement shift of the defect were computed derived from changing the source location along the x- or y-axis. Results: The computed defect depth was identified 0.71 cm in comparison to the actual one with accuracy of 13%. Meanwhile, the defect position was recognized by disorder and reduction in obtained gamma flux. The flux amount along the x-axis was approximately 0.5E+11 units greater than the y-axis. Conclusion: This study provides a method for detecting the depth and position of the defect in a particular sample by combining code and software simulators.
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