
This repository contains the data and source code used to produce the results presented in: Pires, Gustavo P. and Kalid, Thiago E. and Prado, Tatiana de A. and Costa, Vinicius L. and Pereira, Gabriela R. and Passarin, Thiago A. R. and Pipa, Daniel, An Acoustic Lens for Displacement-Free Sectorial Inspection of Pipes with Ultrasonic Phased Arrays, NDT & E International, 2025. DOI: 10.1016/j.ndteint.2025.103459 Abstract Pipes that transport acidic fluids are prone to pitting corrosion, which causes well-localized thickness loss. The detection and measurement of these small flaws via ultrasonic non-destructive testing (UT) requires a fine sampling of the surface of the pipe, which is time-consuming and expensive, especially in places where the inspections require dedicated infrastructure, such as subsea facilities. In this work, we present an acoustic lens that, used with a UT phased array system capable of beam steering, allows for the inspection of large sections (e.g., 90 degrees) of a submerged pipe without any mechanical displacement. The mathematical formulation is derived from geometrical optics, and algorithmic procedures to compute customized delay laws are provided. Practical aspects of the manufacturing and assembly of the device are also described. Spatial resolutions of a prototypical manufactured lens on three axes are assessed on a 140 mm-diameter pipe and compared to those obtained with a moving single-element transducer, showing competitive resolutions. Measurements of the remaining thicknesses of 1.5 mm-diameter machined flaws performed with the device provided a mean absolute error of 19 % of one wavelength and maximum absolute error of 51 % (λ=1.18 mm). The results demonstrate the potential of the proposed concept to replace single-element UT, significantly reducing inspection time by removing displacement otherwise necessary during an axial sweep. License All Python source code (.py) is made available under the MIT license. You can freely use and modify the code, without warranty, so long as you provide attribution to the authors. See LICENSE-MIT.txt for the full license text. Figures and data produced as part of this research are available under the Creative Commons Attribution 4.0 License (CC-BY). See LICENSE-CC-BY.txt for the full license text.
Signal Processing, Ultrasound, Non-destructive testing, Oil and Gas Industry
Signal Processing, Ultrasound, Non-destructive testing, Oil and Gas Industry
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
