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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Mohseni, Ehsan
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 20243-Dimensional residual neural architecture search for ultrasonic defect detectioncitations
- 2023Application of eddy currents for inspection of carbon fibre composites
- 2023Application of machine learning techniques for defect detection, localisation, and sizing in ultrasonic testing of carbon fibre reinforced polymers
- 2023In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approachescitations
- 2023Mapping SEARCH capabilities to Spirit AeroSystems NDE and automation demand for composites
- 2023Using neural architecture search to discover a convolutional neural network to detect defects From volumetric ultrasonic testing data of composites
- 2023Phased array inspection of narrow-gap weld LOSWF defects for in-process weld inspection
- 2022Transfer learning for classification of experimental ultrasonic non-destructive testing images from synthetic data
- 2022Autonomous and targeted eddy current inspection from UT feature guided wave screening of resistance seam welds
- 2022Mechanical stress measurement using phased array ultrasonic system
- 2022Automated bounding box annotation for NDT ultrasound defect detection
- 2022Multi-sensor electromagnetic inspection feasibility for aerospace composites surface defects
- 2022Investigating ultrasound wave propagation through the coupling medium and non-flat surface of wire + arc additive manufactured components inspected by a PAUT roller-probe
- 2022Automated multi-modal in-process non-destructive evaluation of wire + arc additive manufacturing
- 2022Dual-tandem phased array inspection for imaging near-vertical defects in narrow gap welds
- 2022Targeted eddy current inspection based on ultrasonic feature guided wave screening of resistance seam welds
- 2022In-process non-destructive evaluation of wire + arc additive manufacture components using ultrasound high-temperature dry-coupled roller-probe
- 2022Collaborative robotic Wire + Arc Additive Manufacture and sensor-enabled in-process ultrasonic Non-Destructive Evaluationcitations
- 2022Automated real time eddy current array inspection of nuclear assetscitations
- 2020In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass weldingcitations
- 2020Laser-assisted surface adaptive ultrasound (SAUL) inspection of samples with complex surface profiles using a phased array roller-probe
- 2019Ultrasonic phased array inspection of a Wire + Arc Additive Manufactured (WAAM) sample with intentionally embedded defectscitations
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document
Laser-assisted surface adaptive ultrasound (SAUL) inspection of samples with complex surface profiles using a phased array roller-probe
Abstract
The market for cost-effective additive manufactured (AM) complex components has evolved rapidly within the recent years urging the practitioners to devise robust non-destructive evaluation strategies to ensure the quality and integrity of such components. Among other AM techniques, Wire + Arc Additive manufacturing (WAAM) has particularly proven to offer high deposition rates allowing to manufacture large-scale near net shape components within shorter lead-times. However, it is difficult to fully control the occurrence of manufacturing defects such as gas pores, lack of fusion, and keyholes, especially when the gas tungsten arc welding provides the process heat. Phased Array Ultrasonics Testing (PAUT) has been one of the preferred long-standing non-destructive evaluation methods used to inspect such weld defects and has a clear potential to be applied in WAAM inspection. Performing interlayer inspection of WAAM reduces the scrappage and re-work time.For an effective WAAM inspection, it is essential to establish a good contact between the PAUT array and the complex surface of the WAAM. Thereby, an PAUT roller probe with a flexible tire that can tolerate high temperatures (< 350˚C) was designed and developed. The tire accommodates the geometric mismatch between the curved surface of the WAAM and the stand-off delay line within the roller probe – shown in Figure 1(a). Also, it is equally important to correct the PAUT focal laws such that the UT beam is well-focused as the roller probe scans over a WAAM component with a varying surface profile. This enhances and maintains the detection sensitivity along the sample. For this purpose, a Surface Adaptive Ultrasound (SAUL) algorithm was embedded in a robotically delivered inspection system. The system is planned and executed in LabVIEW to interface a KUKA KRC4 robot controller, PEAK LTPA PAUT controller and a Micro-Epsilon laser profiler (see Figures 1(b) and (c)). Required contact and orientation between PAUT roller probe and the WAAM component is maintained through real time force-torque control. During the scan, the surface profile is acquired at a predefined frequency using the laser profiler, and then processed on the fly within the SAUL algorithm to update the PAUT controller focal laws helping to keep in a consistent depth of focus regardless of the changes of the WAAM surface. The system was initially tested on an aluminium reference bock which was specifically designed with a varying surface curvature and flat bottom holes of 1 mm in diameter. The performance is also assessed using a titanium WAAM wall with flat bottom holes. Holes were successfully detected in both studies.