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- W4838398 abstract "The purpose of this work was to assess the size of an adhesive fillet in an aluminium T-peel joint, using measurements of ultrasonic Lamb wave propagation across the joint. Single (S0 or a1) or mixed (S0+a1) mode signals were generated and received by a purpose built transmitter-receiver-correlator using Golay codes. Studies were made of the use of FFTs of received signals for bond fillet size categorisation. Conventional statistical methods applied to major spectral peaks failed to discriminate between bond thickness classes. A simple two layer neural network applied to the same data could be trained to recognise the bond thickness class in at least 95% of these samples." @default.
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- W4838398 date "1993-01-01" @default.
- W4838398 modified "2023-10-16" @default.
- W4838398 title "Artificial Neural Network Processing of Lamb Wave Data for Adhesive Bond Characterisation" @default.
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- W4838398 doi "https://doi.org/10.1016/b978-0-7506-1877-9.50192-x" @default.
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