0000000000749905

AUTHOR

Randika K. W. Vithanage

showing 4 related works from this author

Using coded excitation to maintain signal to noise for FMC+TFM on attenuating materials

2019

Ultrasonic Non-Destructive Evaluation using Full Matrix Capture (FMC) and Total Focusing Method (TFM) is used for high resolution imaging as every pixel is in optimal focus. FMC excites one element in turn, so operates with lower transmitted energy compared to phased array beamforming. The energy at a reflector is further reduced by the broad directivity pattern of the single element. The large number of Tx/Rx A-scans that contribute to each pixel recover the Signal-to-Noise Ratio (SNR) in the final TFM image. Maintaining this in the presence of attenuating materials is a challenge because relevant information in each A-scan signal is buried in the thermal noise, and the TFM process assumes…

BeamformingComputer sciencePhased arrayAcousticsTK02 engineering and technology01 natural sciencesSignalNoise (electronics)Signal-to-noise ratio0103 physical sciencesTFMUltrasound0202 electrical engineering electronic engineering information engineeringFMChigh attenuation010301 acousticsPixelbusiness.industryQuantization (signal processing)AttenuationUltrasoundorthogonal Golay code020206 networking & telecommunicationsCoded excitationRough surfaceUltrasonic sensorbusinessadditive manufacturingEnergy (signal processing)
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Model-assisted ultrasonic calibration using intentionally embedded defects for in-process weld inspection

2021

Abstract Automated in-process Non-Destructive Testing (NDT) systems are rapidly gaining traction within the manufacturing industry as they reduce manufacturing time and costs. When considering calibration and verification of such systems, creating defects of known geometry and nature during the deposition of a weld can: (I) help examine the capability of the automated system to detect and characterise defects, (II) be used to form a database of signals associated with different defect types to train intelligent defect classification algorithms, and (III) act as a basis for in-process gain calibration during weld inspection at high temperatures, where the ultrasound beam can be skewed as a r…

Ultrasonic CIVA simulationMaterials sciencePhased arraymedicine.medical_treatmentTKS275 steelMechanical engineering02 engineering and technologyWelding010402 general chemistry01 natural scienceslaw.inventionSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineFusion weldinglawNondestructive testingCalibrationmedicineTIG weldinglcsh:TA401-492General Materials ScienceTime of flight diffraction (TOFD)Autonomous multi-pass weldingIntentionally embedded weld defectPhased Array ultrasonic testing (PAUT)business.industryMechanical EngineeringGas tungsten arc weldingTraction (orthopedics)021001 nanoscience & nanotechnologyIntentionally embedded weld defects0104 chemical sciencesMechanics of MaterialsUltrasonic sensorlcsh:Materials of engineering and construction. Mechanics of materials0210 nano-technologybusinessMaterials & Design
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In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass welding

2020

Abstract In multi-pass welding, there is increasing motivation to move towards in-process defect detection to enable real-time repair; thus avoiding deposition of more layers over a defective weld pass. All defect detection techniques require a consistent and repeatable approach to calibration to ensure that measured defect sizing is accurate. Conventional approaches to calibration employ fixed test blocks with known defect sizes, however, this methodology can lead to incorrect sizing when considering complex geometries, materials with challenging microstructure, and the significant thermal gradients present in materials during the inter-pass inspection period. To circumvent these challenge…

Materials scienceCalibration (statistics)TKMechanical engineering02 engineering and technologyWeldingIn-process calibration010402 general chemistry01 natural scienceslaw.inventionRobot weldingAcceptance testinglawNondestructive testinglcsh:TA401-492General Materials ScienceRobotic weldingIn-process welding and inspectionRobotic non-destructive testingbusiness.industryMechanical EngineeringProcess (computing)Phased array ultrasonic testing (PAUT)021001 nanoscience & nanotechnologyIntentionally embedded weld defectsSizing0104 chemical sciencesMechanics of Materialslcsh:Materials of engineering and construction. Mechanics of materialsUltrasonic sensor0210 nano-technologybusiness
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A flexible robotic cell for in-process inspection of multi-pass welds

2020

Welds are currently only inspected after all the passes are complete and after allowing sufficient time for any hydrogen cracking to develop, typically over several days. Any defects introduced between passes are therefore unreported until fully buried, greatly complicating rework and also delaying early corrections to the weld process parameters. In-process inspection can provide early intervention but involves many challenges, including operation at high temperatures with significant gradients affecting acoustic velocities and, hence, beam directions. Reflections from the incomplete parts of the weld would also be flagged as lack-of-fusion defects, requiring the region of interest (ROI) t…

021103 operations researchComputer scienceTKMechanical EngineeringGas tungsten arc welding0211 other engineering and technologiesMetals and AlloysReworkProcess (computing)Mechanical engineering02 engineering and technologyWeldingWork in process01 natural scienceslaw.inventionSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineMechanics of MaterialslawRegion of interest0103 physical sciencesMaterials ChemistryRobotUltrasonic sensorRobotics In-process inspection Multi-pass welds010301 acoustics
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