Analysis of Criteria for Identification of Defects by Acoustic Emission Method

Kuten, Maria; Bobrov, A. L.

doi:10.1007/978-3-030-96380-4_110

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2022

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“…A more detailed analysis of the AE data showed that the of the AE hits, such as the amplitude and rise time, are mostly random and have a considerable scatter of values (Figure 6a). The lack of ordering parameters indicates the scattered nature of the destruction [24,25].…”

Section: Discussionmentioning

confidence: 99%

Assessment of the Structural State of Dissimilar Welded Joints by the Acoustic Emission Method

et al. 2022

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In this study, we investigated defect detection in dissimilar welded joints by the acoustic emission (AE) method. The study objects were carbide and decarburized interlayers, which are formed at the fusion boundary between austenitic and pearlitic steels. Diffusion interlayers, as a structural defect, usually have microscopic dimensions and cannot be detected using conventional non-destructive testing (NDT) methods. In this regard, the AE method is a promising approach to diagnose metal objects with a complex structure and to detect microscopic defects. In this paper, the AE signatures obtained from testing defect-free specimens and specimens with diffusion interlayers are analyzed. We found that the AE signature for defective and defect-free welded joints has significant differences, which makes it possible to identify descriptors corresponding to the presence of diffusion interlayers in dissimilar welded joints.

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Section: Discussionmentioning

confidence: 99%