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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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Pierce, Stephen
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (51/51 displayed)
- 20243-Dimensional residual neural architecture search for ultrasonic defect detectioncitations
- 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
- 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
- 2023Driving towards flexible and automated robotic multi-pass arc welding
- 2022Transfer learning for classification of experimental ultrasonic non-destructive testing images from synthetic data
- 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
- 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
- 2022Towards real-time ultrasound driven inspection and control of GTA welding processes for high-value manufacturing
- 2022Dual-tandem phased array inspection for imaging near-vertical defects in narrow gap welds
- 2022In-process non-destructive evaluation of wire + arc additive manufacture components using ultrasound high-temperature dry-coupled roller-probe
- 2022Automated real time eddy current array inspection of nuclear assetscitations
- 2021Feed forward control of welding process parameters through on-line ultrasonic thickness measurementcitations
- 2021A cost-function driven adaptive welding framework for multi-pass robotic weldingcitations
- 2021Non-contact in-process ultrasonic screening of thin fusion welded jointscitations
- 2020In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass weldingcitations
- 2020Machine learning at the interface of structural health monitoring and non-destructive evaluationcitations
- 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
- 2019A probabilistic compressive sensing framework with applications to ultrasound signal processingcitations
- 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
- 2016Investigation of synthetic aperture methods in ultrasound surface imaging using elementary surface typescitations
- 2016Robotic ultrasonic testing of AGR fuel claddingcitations
- 2016Conformable eddy current array deliverycitations
- 2016Robotic path planning for non-destructive testing - a custom MATLAB toolbox approachcitations
- 2014Automatic ultrasonic robotic arraycitations
- 2014Robotic path planning for non-destructive testing of complex shaped surfaces
- 2013The feasibility of synthetic aperture guided wave imaging to a mobile sensor platformcitations
- 2012Features for damage detection with insensitivity to environmental and operational variationscitations
- 2011Some experimental observations on the detection of composite damage using lamb wavescitations
- 2011On impact damage detection and quantification for CFRP laminatescitations
- 2010A comparison of methods used to predict the vibrational energy required for a reliable thermosonic inspection
- 2010Monitoring crack propagation in turbine blades caused by thermosonic inspection
- 2008Damage localisation in a stiffened composite panelcitations
- 2007Damage detection using stress waves and multivariate statistics, an experimental case study of an aircraft componentcitations
- 2007Damage location in a stiffened composite panel using Lamb waves and neural networks
- 2006On the reproducibility of transducer coupling for acoustic emission testing
- 2001On the long-term stability of normal condition for damage detection in a composite panel
Places of action
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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.