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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
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document
Phased array inspection of narrow-gap weld LOSWF defects for in-process weld inspection
Abstract
Post-manufacturing weld inspection processes within the oil, gas and nuclear industries are crucial in ensuring the integrity of critical components. Non-Destructive Evaluation (NDE) utilising Ultrasonic Phased Array Testing (PAUT) techniques are currently preferred to perform post-welding inspections, enabling correction of potential flaws before components are used in the field. <br/>However, this process can be refined to increase manufacturing efficiency and reduce production costs while maintaining quality assurance. The marriage of the welding and inspection processes, widely termed ‘In-Process Inspection’, allows potential flaws to be detected, analysed, and corrected if necessary, between individual weld passes. Not only does this increase throughput by combining two separate processes, but also reduces the rework and disruption experienced by current practices. The feasibility of the in-process technique has been successfully shown using high-temperature ultrasonic wheel probes for standard V-groove welds. Despite this, the technique has not yet been applied to other welding practices, such as narrow-gap. <br/>Narrow-gap welds are typically chosen to reduce required weld volume and heat input to manufacture thick-section components, such as pressure vessels, modular reactors and gas storage tanks. Notoriously difficult to consistently inspect, narrow-gap weld inspection methods would greatly benefit from an in-process technique. This would allow flaws in initial passes to be detected early, and reduce the requirement to excavate large volumes of deposited weld material to correct. <br/>Despite the obvious advantages, an in-process method introduces added challenges for ultrasonic inspection, particularly due to effects observed from added geometric reflections from partial weld geometries, industrial process interference, and high temperature gradients. Furthermore, an inspection plan which optimises probe position to maximises acoustic energy for inspection of each pass as it is deposited would be crucial. <br/>A dual-tandem inspection method has been proposed to ensure consistent detection of simulated Lack-of-Sidewall Fusion (LOSWF) defects in mock narrow-gap weld samples. This includes two opposite-facing phased array probes on each side of the weld, to ensure uniform coverage from each weld side, and to improve system sensitivity to diffractive effects. Near-vertical 5.0 mm x 1.0 mm EDM notches in 120.0 mm thick Carbon Steel mock weld samples have been detected and sized using a dual-aperture Full Matrix Capture (FMC) data acquisition and Multi-Mode Total Focussing Method (MMTFM) algorithm. <br/>Using a path-finding Time-of-Flight (ToF) calculation algorithm, this method has also been shown to successfully adapt to partial weld inspection through geometric compensation, with detection and sizing of EDM notches in mock partial narrow gap samples. Through data fusion techniques, vertical notch detection and characterisation is greatly enhanced relative to traditional phased array methods. <br/>