Soft computing and eddy currents to estimate and classify delaminations in biomedical device CFRP plates

Abstract This paper presents an approach based on eddy currents induced by suitable magnetic induction fields to test, estimate, and classify subsurface delaminations in Carbon Fibre Reinforced Polymer (CFRP) plates for biomedical devices. The two-dimensional maps obtained, characterised by high fuzziness, required the software development of a procedure based on a highly efficient fuzzy classifier that exploits fuzzy similarity computations with reduced computational load by collecting similar maps (deriving from equally similar defects) in specific defects. The hardware implementation of what is designed in software (plate-probe system) detects and evaluates the entity of the defects due to delaminations by a classification percentage comparable with the performances obtained from more sophisticated classifiers, providing a possible tool for evaluating the delaminations potentially useful to assess aircraft compliance with applicable safety standards.

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Publication Details

Journal
Journal of Electrical Engineering
Published
2025-02-01
DOI
https://doi.org/10.2478/jee-2025-0007
Citations
39
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
27.82
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article

Soft computing and eddy currents to estimate and classify delaminations in biomedical device CFRP plates

Mario Versaci, Laura Manin, Filippo Laganà, Giovanni Angiulli
39 citations
Journal of Electrical Engineering
Non-Destructive Testing Techniques
27.82
article

Soft computing and eddy currents to estimate and classify delaminations in biomedical device CFRP plates

Mario Versaci, Laura Manin, Filippo Laganà, Giovanni Angiulli
article en
39 citations

Abstract

Abstract This paper presents an approach based on eddy currents induced by suitable magnetic induction fields to test, estimate, and classify subsurface delaminations in Carbon Fibre Reinforced Polymer (CFRP) plates for biomedical devices. The two-dimensional maps obtained, characterised by high fuzziness, required the software development of a procedure based on a highly efficient fuzzy classifier that exploits fuzzy similarity computations with reduced computational load by collecting similar maps (deriving from equally similar defects) in specific defects. The hardware implementation of what is designed in software (plate-probe system) detects and evaluates the entity of the defects due to delaminations by a classification percentage comparable with the performances obtained from more sophisticated classifiers, providing a possible tool for evaluating the delaminations potentially useful to assess aircraft compliance with applicable safety standards.

Journal of Electrical EngineeringVol. 76(1)
University of Rijeka (HR), Magna Graecia University (IT), University of Reggio Calabria (IT)
Openalex Percentile: Top 0%
Non-Destructive Testing Techniques
27.82
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