Dry-coupled airborne ultrasonic inspection using coded excitation
Zhang, Dayi and Watson, Robert and Cao, Jianlin and Zhao, Taiyi and Dobie, Gordon and MacLeod, Charles and Pierce, Gareth (2020) Dry-coupled airborne ultrasonic inspection using coded excitation. In: 2020 IEEE International Ultrasonics Symposium: IEEE UFFC, 2020-09-06 - 2020-09-11. (https://doi.org/10.1109/IUS46767.2020.9251483)
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Abstract
Unmanned Aerial Vehicles (UAVs) offer significant potential benefits to the inspection of large-scale facilities due to their ability to access areas where manual inspection is not practical. Ultrasonic inspections typically utilise acoustic couplant, placed between the specimen and transducer surfaces, to eliminate any air gap and enable acoustic energy propagation. Conventional ultrasonic inspection UAVs contain a mechanical system to deliver a small quantity of liquid couplant between the transducer and inspection surface. Such mechanisms increase the system payload, resulting in the reduction of UAV flight endurance and inspection efficiency. Any couplant remaining on the surface may also increase the risk of corrosion. Instead of a liquid couplant layer, dry-coupled ultrasonic transducers utilise a thin layer of rubberised material. However, the acoustic characteristics of the conformable materials typically result in dry-coupled transducers with a lower Signal-to-Noise Ratio (SNR) than liquid-coupled sensors. Coded excitation, a pulse compression technology, improves SNR without sacrificing the measurement acquisition rate, as is the case with signal averaging. This paper explores the potential for application of coded excitation to maintain the SNR aboard a UAV deploying a dry-coupled transducer.
ORCID iDs
Zhang, Dayi ORCID: https://orcid.org/0000-0003-4611-4161, Watson, Robert ORCID: https://orcid.org/0000-0002-4918-0044, Cao, Jianlin ORCID: https://orcid.org/0000-0003-1132-8784, Zhao, Taiyi, Dobie, Gordon ORCID: https://orcid.org/0000-0003-3972-5917, MacLeod, Charles ORCID: https://orcid.org/0000-0003-4364-9769 and Pierce, Gareth ORCID: https://orcid.org/0000-0003-0312-8766;-
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Item type: Conference or Workshop Item(Paper) ID code: 73868 Dates: DateEvent17 November 2020Published11 September 2020Published Online5 August 2020AcceptedNotes: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: 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: 16 Sep 2020 10:56 Last modified: 12 Dec 2024 16:34 URI: https://strathprints.strath.ac.uk/id/eprint/73868