In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass welding
Javadi, Yashar and Sweeney, Nina E. and Mohseni, Ehsan and MacLeod, Charles N. and Lines, David and Vasilev, Momchil and Qiu, Zhen and Vithanage, Randika K.W. and Mineo, Carmelo and Stratoudaki, Theodosia and Pierce, Stephen G. and Gachagan, Anthony (2020) In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass welding. Materials and Design, 195. 108981. ISSN 0261-3069 (https://doi.org/10.1016/j.matdes.2020.108981)
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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 challenges, the authors present a novel approach to calibration and introduce the concept of in-process calibration applied to ultrasonic Non-Destructive Testing (NDT). The new concept is centred around the manufacturing of a second duplication sample, containing intentionally-embedded tungsten inclusions, with identical process parameters as the main sample. Both samples are then inspected using a high-temperature robotic NDT process to allow direct comparative measurements to be established between the real part and the calibration sample. It is demonstrated that in-process weld defect detection using the in-process calibration technique can more reliably identify defects in samples which would otherwise pass the acceptance test using a traditional calibration.
ORCID iDs
Javadi, Yashar ORCID: https://orcid.org/0000-0001-6003-7751, Sweeney, Nina E., Mohseni, Ehsan ORCID: https://orcid.org/0000-0002-0819-6592, MacLeod, Charles N. ORCID: https://orcid.org/0000-0003-4364-9769, Lines, David ORCID: https://orcid.org/0000-0001-8538-2914, Vasilev, Momchil, Qiu, Zhen ORCID: https://orcid.org/0000-0002-6219-7158, Vithanage, Randika K.W. ORCID: https://orcid.org/0000-0002-1023-2564, Mineo, Carmelo, Stratoudaki, Theodosia ORCID: https://orcid.org/0000-0002-7462-8664, Pierce, Stephen G. 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: 73371 Dates: DateEvent31 October 2020Published21 July 2020Published Online17 July 2020AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Advanced Manufacturing and Materials
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 29 Jul 2020 13:36 Last modified: 13 Nov 2024 07:36 URI: https://strathprints.strath.ac.uk/id/eprint/73371