A comparison of methods used to predict the vibrational energy required for a reliable thermosonic inspection
Bolu, Gabriel Nnamdi and Gachagan, Anthony and Pierce, Stephen and Barton, T; (2010) A comparison of methods used to predict the vibrational energy required for a reliable thermosonic inspection. In: NDT 2010 Conference & Exhibition CD-ROM. British Institute of Non-Destructive Testing, GBR. ISBN 9780903132532
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Abstract
Thermosonics is capable of detecting cracks in several types of components. The component is excited with high-power ultrasonic vibrations, causing cracks to generate heat, which can be detected by an infrared (IR) camera. However, the excitation in a typical thermosonic test is non-reproducible and can lead to cracks being undetected if sufficient vibrational energy is not applied at the crack location. The vibrational energy dissipated as heat at the defect is directly related to the frequency and amplitude of the vibration, and this energy can be represented by a single parameter (Heating Index) computed from the vibration waveform. The Heating Index parameter is useful as it can be used to predict the vibration level required for a reliable thermosonic inspection. The aim of this work is to compare different vibration measuring devices that may be used to capture the vibration waveform required to compute the Heating Index. In this study, an aero engine turbine blade is inspected using a practical thermosonic setup, after which the vibration waveforms acquired from a laser vibrometer, microphone and strain gauge are processed. Results from this work will highlight the relative merits and limitations of these different vibration measuring devices for computing the Heating Index.
ORCID iDs
Bolu, Gabriel Nnamdi, Gachagan, Anthony ORCID: https://orcid.org/0000-0002-9728-4120, Pierce, Stephen ORCID: https://orcid.org/0000-0003-0312-8766 and Barton, T;-
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Item type: Book Section ID code: 47532 Dates: DateEvent2010PublishedSubjects: 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 Apr 2014 10:30 Last modified: 11 Nov 2024 14:54 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/47532