Acoustic Emission Source Location in Unidirectional Carbon-Fibre-Reinforced Plastic Plates Using Virtually Trained Artificial Neural Networks

Journal Article · Wed Jun 02 00:00:00 EDT 2010 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3455565· OSTI ID:21377987

Caprino, G; Lopresto, V; Leone, C; Papa, I ^[1]

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1. Department of Materials and Production Engineering, University of Naples 'Federico II', Piazzale Tecchio, 80, 80125, Naples (Italy)

Acoustic emission source location in a unidirectional carbon-fibre-reinforced plastic plate was attempted employing Artificial Neural Network (ANN) technology. The acoustic emission events were produced by a lead break, and the response wave received by piezoelectric sensors, type VS150-M resonant at 150 kHz. The waves were detected by a Vallen AMSY4 eight-channel instrumentation. The time of arrival, determined through the conventional threshold crossing technique, was used to measure the dependence of wave velocity on fibre orientation. A simple empirical formula, relying on classical lamination and suggested by wave propagation theory, was able to accurately model the experimental trend. Based on the formula, virtual training and testing data sets were generated for the case of a plate monitored by three transducers, and adopted to select two potentially effective ANN architectures. For final validation, experimental tests were carried out, positioning the source at predetermined points evenly distributed within the plate area. A very satisfactory correlation was found between the actual source locations and the ANN predictions.

• OSTI ID: 21377987
• Journal Information: AIP Conference Proceedings, Vol. 1255, Issue 1; Conference: 5. international conference on times of polymers (TOP) and composites, Ischia (Italy), 20-23 Jun 2010; Other Information: DOI: 10.1063/1.3455565; (c) 2010 American Institute of Physics; ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
CARBON FIBERS
COMPOSITE MATERIALS
KHZ RANGE 100-1000
NEURAL NETWORKS
PIEZOELECTRICITY
PLATES
POSITIONING
REINFORCED PLASTICS
SENSORS
TRANSDUCERS
VALIDATION
WAVE PROPAGATION
ELECTRICITY
FIBERS
FREQUENCY RANGE
KHZ RANGE
MATERIALS
ORGANIC COMPOUNDS
ORGANIC POLYMERS
PETROCHEMICALS
PETROLEUM PRODUCTS
PLASTICS
POLYMERS
REINFORCED MATERIALS
SYNTHETIC MATERIALS
TESTING