Robotic ultrasonic testing of AGR fuel cladding
Morozov, Maxim and Pierce, S. Gareth and Dobie, Gordon and Bolton, Gary T. and Bennett, Thomas (2016) Robotic ultrasonic testing of AGR fuel cladding. Case Studies in Nondestructive Testing and Evaluation. ISSN 2214-6571 (https://doi.org/10.1016/j.csndt.2016.08.001)
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Abstract
The purpose of the presented work was to undertake experimental trials to demonstrate the potential capabilities of a novel in-situ robotic ultrasonic scanning technique for measuring and monitoring loss of the cladding wall thickness in fuel pins of Advanced Gas-cooled Reactors using non-radioactive samples. AGR fuel pins are stainless steel cylindrical ribbed pipes of inner diameter of the rod being about 15 mm and wall thickness of about 300μm. Spent AGR fuel pins are stored in a water pond and thus may be prone to corrosion and stress-corrosion cracking under adverse conditions. An ultrasonic immersion transducer with central frequency of 25MHz was used to measure wall thickness of the AGR fuel cladding. The novelty of the approach consists in the usage of a frequency domain technique to measure the wall thickness combined with cylindrical ultrasonic scanning of the samples performed using an industrial robotic manipulator. The frequency domain approach could detect wall thicknesses in the range 96μm to 700μm with a resolution of about 10μm. In addition to the frequency domain measurements, using conventional time domain techniques, it was possible to detect very short (2.5mm long) and shallow (100μm in depth) crack-like defects in the fuel cladding.
ORCID iDs
Morozov, Maxim ORCID: https://orcid.org/0000-0001-7644-8846, Pierce, S. Gareth ORCID: https://orcid.org/0000-0003-0312-8766, Dobie, Gordon ORCID: https://orcid.org/0000-0003-3972-5917, Bolton, Gary T. and Bennett, Thomas;-
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Item type: Article ID code: 57431 Dates: DateEvent13 August 2016Published13 August 2016Published Online10 August 2016AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 16 Aug 2016 13:09 Last modified: 11 Nov 2024 17:48 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/57431