Plane Wave Imaging Techniques for Immersion Testing of Components With Nonplanar Surfaces

• Published in: IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 2020-07, Vol.67 (7), p.1303-1316
• Main Authors: Rachev, Rosen K., Wilcox, Paul D., Velichko, Alexander, McAughey, Kevin L.
• Format: Article
• Language: English
• Subjects: Acoustics; Adaptation; Algorithms; Arrays; Complex geometry; Computer simulation; Defects; Equivalence; Imaging; Imaging techniques; immersion testing; Inspection; Noise levels; nondestructive evaluation (NDE); Nondestructive testing; Phased arrays; plane wave imaging (PWI); Plane waves; signal processing; Signal to noise ratio; Surface reconstruction; Surface waves; Ultrasonic testing; ultrasound
• ISSN: 0885-3010; 1525-8955
• DOI: 10.1109/TUFFC.2020.2969083

Plane wave imaging (PWI) is an ultrasonic array imaging technique used in nondestructive testing, which has been shown to yield high resolution with few transmissions. Only a few published examples are available of PWI of components with nonplanar surfaces in immersion. In these cases, inspections were performed by adapting the transmission delays in order to produce a plane wave inside the component. This adaptation requires prior knowledge of the component geometry and position relative to the array. This article proposes a new implementation, termed PWI adapted in postprocessing (PWAPP), which has no such requirement. In PWAPP, the array emits a plane wave as in conventional PWI. The captured data are input into two postprocessing stages. The first reconstructs the surface of the component; the latter images inside of it by adapting the delays to the distortion of the plane waves upon refraction at the reconstructed surface. Simulation and experimental data are produced from an immersed sample with a concave front surface and artificial defects. These are processed with conventional and surface corrected PWI. Both algorithms involving surface adaptation produced nearly equivalent results from the simulated data, and both outperform the nonadapted one. Experimentally, all defects are imaged with a signal-to-noise ratio (SNR) of at least 31.8 and 33.5 dB for, respectively, PWAPP and PWI adapted in transmission but only 20.5 dB for conventional PWI. In the cases considered, reducing the number of transmissions below the number of array elements shows that PWAPP maintains its high SNR performance down to the number of firings equivalent to a quarter of the array elements. Finally, experimental data from a more complex surface specimen are processed with PWAPP resulting in detection of all scatterers and producing SNR comparable to that of the total focusing method.