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SAFT Imaging of Transverse Cracks in Austenitic and Dissimilar Welds.

Authors :
Höhne, Christian
Kolkoori, Sanjeevareddy
Rahman, Mehbub-Ur
Boehm, Rainer
Prager, Jens
Source :
Journal of Nondestructive Evaluation; Mar2013, Vol. 32 Issue 1, p51-66, 16p
Publication Year :
2013

Abstract

Up to now there is no sufficient technique to detect transverse cracks in austenitic and dissimilar welds which recently are of increasing interest in the integrity surveillance of nuclear power plants as well as in quality control of longitudinally welded pipes. Weld inspection by interpretation of single A-scans will lead to erroneous results due to effects caused by anisotropy and in worst case might leave flaws undetected. Therefore, imaging techniques such as the synthetic aperture focusing technique (SAFT) should be used. If the SAFT algorithm is applied on data taken from austenitic welds, the inhomogeneous, anisotropic structure of these welds has to be taken into account in order to properly attribute amplitudes measured in A-scans to the corresponding coordinates in the region of interest. While this has been investigated in the past, all attempts so far were limited to the imaging of longitudinal cracks which requires a less complicated setup than the imaging of transverse cracks. In this paper we give an outline of our attempts to reconstruct images of transverse cracks in different welds. For this purpose a SAFT program based on ray tracing and a layered structure weld model derived from an empirical model of grain orientations in welds are used. The results of the image reconstruction on experimental data are shown and compared to images obtained by assuming an isotropic homogeneous model. Root reflection and crack tip echo are clearly visible which allows an estimation of size and position of the crack with good accuracy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01959298
Volume :
32
Issue :
1
Database :
Complementary Index
Journal :
Journal of Nondestructive Evaluation
Publication Type :
Academic Journal
Accession number :
85596082
Full Text :
https://doi.org/10.1007/s10921-012-0159-3