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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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Macleod, Charles N.
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (45/45 displayed)
- 20243-Dimensional residual neural architecture search for ultrasonic defect detectioncitations
- 2023Single-bit coded excitation for lightweight phase coherence imaging
- 2023Flexible and automated robotic multi-pass arc welding
- 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
- 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
- 2023Fibre volume fraction screening of pultruded carbon fibre reinforced polymer panels based on analysis of anisotropic ultrasonic sound velocitycitations
- 2023Phased array inspection of narrow-gap weld LOSWF defects for in-process weld inspection
- 2023Driving towards flexible and automated robotic multi-pass arc welding
- 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
- 2022Towards ultrasound-driven, in-process monitoring & control of GTA welding of multi-pass welds for defect detection & prevention
- 2022Automated bounding box annotation for NDT ultrasound defect detection
- 2022Multi-sensor electromagnetic inspection feasibility for aerospace composites surface defects
- 2022Collaborative robotic wire + arc additive manufacture and sensor-enabled in-process ultrasonic non-destructive evaluationcitations
- 2022Investigating ultrasound wave propagation through the coupling medium and non-flat surface of wire + arc additive manufactured components inspected by a PAUT roller-probe
- 2022Towards real-time ultrasound driven inspection and control of GTA welding processes for high-value manufacturing
- 2022Deep learning based inversion of locally anisotropic weld properties from ultrasonic array datacitations
- 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
- 2021Feed forward control of welding process parameters through on-line ultrasonic thickness measurementcitations
- 2021Inspection of components with obscured accessibility
- 2021A cost-function driven adaptive welding framework for multi-pass robotic weldingcitations
- 2021Non-contact in-process ultrasonic screening of thin fusion welded jointscitations
- 2021Miniaturised SH EMATs for fast robotic screening of wall thinning in steel platescitations
- 2020In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass weldingcitations
- 2020Quantifying impacts on remote photogrammetric inspection using unmanned aerial vehiclescitations
- 2020Laser-assisted surface adaptive ultrasound (SAUL) inspection of samples with complex surface profiles using a phased array roller-probe
- 2019Ultrasonic phased array inspection of wire + arc additive manufacture samples using conventional and total focusing method imaging approachescitations
- 2019Electromagnetic acoustic transducers for guided-wave based robotic inspection
- 2019Ultrasonic phased array inspection of wire plus arc additive manufacture samples using conventional and total focusing method imaging approachescitations
- 2019Ultrasonic phased array inspection of a Wire + Arc Additive Manufactured (WAAM) sample with intentionally embedded defectscitations
- 2019Towards guided wave robotic NDT inspection
- 2018Machining-based coverage path planning for automated structural inspectioncitations
- 2018Ultrasonic phased array inspection of wire plus arc additive manufacture (WAAM) samples using conventional and total focusing method (TFM) imaging approaches
- 2018Enhancing the sound absorption of small-scale 3D printed acoustic metamaterials based on Helmholtz resonatorscitations
- 2016Conformable eddy current array deliverycitations
- 2014Automatic ultrasonic robotic arraycitations
Places of action
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document
Dual-tandem phased array inspection for imaging near-vertical defects in narrow gap welds
Abstract
When considering narrow-gap welding processes, common in the nuclear industry, wherein the weld angle is in the range of 2° – 10°, lack-of-fusion defects can appear at near-vertical angles. Traditional single-probe phased array weld inspection, operated in pulse-echo mode, have shown a relatively low sensitivity to vertical and near-vertical planar defects. This is largely due to the dependency of pulse-echo inspection on defect orientation for a favourable reflection angle. Using a single-probe setup may not provide suitable assurances for detection of such defects as the majority of sound energy is reflected away from the transducer by the defect. Multi-mode self-tandem inspection has been used to improve sensitivity to defects of this type, but this method still relies on reflection orientation from the defect. Furthermore, in the case of narrow gap welding, material thicknesses are often large in the hundreds of mm’s and a growing number of required skips can greatly increase ray paths, and in turn attenuation effects.<br/>To overcome the aforementioned traditional phased array inspection challenges,introducing a second opposite facing phased array probe on the far side of the weld to perform simultaneous through-transmission and pulse-echo inspection was investigated. The addition of through-transmission acquisition allows for enhanced detection capability enabled by the combined indications obtained from defect reflections and diffraction effects. For near-vertical defects, this will allow responses from tip-diffraction to be included, in addition to body reflections obtained from pulse-echo. Moreover, Full Matric Capture (FMC) acquisition was deployed to obtain four distinct sub-datasets - one for each of the two pulse-echo and two through-transmission acquisitions performed.<br/>In addition, the added adaptability of the inspection system due to the inclusion of a second probe, including mode choice, probe separation and wedge considerations was investigated through numerical simulations and experiments. One such wedge consideration is the balance between beamforming and transmissibility for shear and longitudinal modes. Longitudinal waves exhibit greater diffraction effects, and are therefore the desirable mode choice for through-transmission. Conversely, shear wave modes provide better resolution and amplitude, so are desirable for pulse-echo. It is therefore advantageous to maximise the transmission of each of these modes without completely limiting the other. Analysis of different wedge angles was conducted and a conclusion drawn from the results of an optimal wedge angle for aluminium of ~20°. This is closer to a standard longitudinal wedge angle to avoid the first critical angle, which is typically surpassed by standard shear wedge angles of ~35°.<br/>It has been shown using ray-tracing simulations that using a combined pulse-echo and through-transmission setup can produce high SNR TFM images of vertical and near-vertical defects. Care must be taken in choosing the correct modes for each FMC sub-dataset, so as to maximise defect detection sensitivity. Data fusion techniques can also be applied for multi-mode and multi-view imaging, further increasing available image parameters. Initial multi-view data fusion tests have shown tip diffraction TFM imaging with a SNR up to 36dB.<br/>