Model-assisted ultrasonic calibration using intentionally embedded defects for in-process weld inspection
Mohseni, Ehsan and Javadi, Yashar and Sweeney, Nina E. and Lines, David and MacLeod, Charles N. and Vithanage, Randika K.W. and Qiu, Zhen and Vasilev, Momchil and Mineo, Carmelo and Lukacs, Peter and Foster, Euan and Pierce, S. Gareth and Gachagan, Anthony (2021) Model-assisted ultrasonic calibration using intentionally embedded defects for in-process weld inspection. Materials and Design, 198. 109330. ISSN 0261-3069 (https://doi.org/10.1016/j.matdes.2020.109330)
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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 result of velocity gradients. In view of this, this paper investigates two unique methodologies for introducing: (a) lack of fusion weld defects by embedding tungsten in the weld and (b) creating artificial weld cracks by quenching to imitate the real cracking scenarios. According to the results of Phased Array Ultrasound Testing (PAUT) inspections, the methodologies used for embedding the artificial defects were successful. The validity of inspections was also verified by extracting micrographs from the defective sections of the welds, and model-based simulations were carried out to gain a better understanding of the wave propagation path and interaction with the generated defects.
ORCID iDs
Mohseni, Ehsan ORCID: https://orcid.org/0000-0002-0819-6592, Javadi, Yashar ORCID: https://orcid.org/0000-0001-6003-7751, Sweeney, Nina E., Lines, David ORCID: https://orcid.org/0000-0001-8538-2914, MacLeod, Charles N. ORCID: https://orcid.org/0000-0003-4364-9769, Vithanage, Randika K.W. ORCID: https://orcid.org/0000-0002-1023-2564, Qiu, Zhen ORCID: https://orcid.org/0000-0002-6219-7158, Vasilev, Momchil, Mineo, Carmelo ORCID: https://orcid.org/0000-0002-5086-366X, Lukacs, Peter, Foster, Euan, Pierce, S. Gareth ORCID: https://orcid.org/0000-0003-0312-8766 and Gachagan, Anthony ORCID: https://orcid.org/0000-0002-9728-4120;-
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Item type: Article ID code: 74765 Dates: DateEvent15 January 2021Published18 November 2020Published Online12 November 2020AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Advanced Manufacturing and MaterialsDepositing user: Pure Administrator Date deposited: 03 Dec 2020 09:26 Last modified: 11 Nov 2024 12:55 URI: https://strathprints.strath.ac.uk/id/eprint/74765