Investigations of AE signals emitted from dropped indenter on steel pipes' surface.

Shehadeh, Mohamed; Osman, Ahmed; Elbatran, Aly Hassan Abdelbaky; Steel, J.A.; Reuben, R.L.

Abstract

Acoustic emission (AE) are stress waves created by the material deformation, which could be utilized to detect impacts of objects within different mechanical systems. In a mechanical system, impacts from dropped masses are pertinent to realistic wave sources where is to improve precision of source location in real situation. As such, work is required in order to experimentally evaluate the distortions of AE signals using a set of impacts tests. A series of source intensities were simulated on a steel pipe also the effects of signal type and intensity on the frequency and time domain features were determined. In order to locate and reconstitute the time- and frequency-domain signatures of the AE source, sensors were mounted externally on segments of the tested pipes. It is concluded that the AE energy was easily affected by the location of the indenter shape/geometry. This study demonstrated the significant features and the capability of AE associated with real sources for evaluating and determining the intensity, nature and the position of the damaging events.

Citation

SHEHADEH, M., OSMAN, A., ELBATRAN, A.H.A., STEEL, J.A. and REUBEN, R.L. 2021. Investigations of AE signals emitted from dropped indenter on steel pipes' surface. IEEE access [online], 9, pages 147947-147957. Available from: https://doi.org/10.1109/ACCESS.2021.3122915

• Journal Article Type: Article
• Acceptance Date: Oct 21, 2021
• Online Publication Date: Oct 26, 2021
• Publication Date: Dec 31, 2021
• Deposit Date: Jun 11, 2024
• Publicly Available Date: Jun 11, 2024
• Journal: IEEE access
• Electronic ISSN: 2169-3536
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Volume: 9
• Pages: 147947-147957
• DOI: https://doi.org/10.1109/ACCESS.2021.3122915
• Keywords: Acoustic emission; Cumulative energy; Impact; Indentation; Sensors; Pipeline
• Public URL: https://rgu-repository.worktribe.com/output/2058153