Non-Destructive Detection of Real Defects in Polymer Composites by Ultrasonic Testing and Recurrence Analysis

Ciecieląg, Krzysztof; Kęcik, Krzysztof; Skoczylas, Agnieszka; Matuszak, Jakub; Korzec, Izabela; Zaleski, R.

doi:10.3390/ma15207335

Cited by 24 publications

(8 citation statements)

References 52 publications

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“…The scanning coverage of the structure may then be automated by using programs set in advance, allowing several passes in particular area, that is, collecting data with high spatial precision of scanning. For example, Ciecieląg et al 112 utilized the immersion technique by the 5 MHz through-transmission method using an automatic flaw detector followed with C-scans to detect a defect with a size of 1.3 mm in CFRP and 1.1 mm in GFRP caused at the manufacturing stage and a generated damping map showed structures present inside the tested element as well as irregularities and defects in the material. Ibrahim 113 performed an inspection using a mechanically raster-scanned ultrasonic immersion system, in which the specimen was submerged in water to detect a resin-rich region at the ply abutment of polymer–matrix composite created by two plies positioned with 1 mm in-plane gap is left between them.…”

Section: Ultrasonic Monitoring Techniquesmentioning

confidence: 99%

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Noncontact nondestructive ultrasonic techniques for manufacturing defects monitoring in composites: a review

Mortada,

El Mousharrafie,

Mahfoud

et al. 2023

Structural Health Monitoring

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Composite materials are widely used in most industries due to their high specific strength, specific stiffness, and their relatively lighter weight compared to other traditional materials. However, the presence of defects arising from manufacturing processes or during service loads can make these structures more susceptible to a diminished performance. Furthermore, the former defects are inevitable in composite structures, but they can be reduced. Each type of defect requires specific inspection techniques and configurations. In this work, a review of the different types of composites manufacturing processes and their corresponding resultant defects is presented with the various nondestructive evaluation techniques employed for these defects’ characterization. The emphasis of this paper is on ultrasonic inspection and detection techniques for they present high sensitivity to surface/subsurface discontinuities, superior depth of ultrasonic penetration for flaw detection, feasibility on large scales, and instantaneous and detailed images production. Notably, noncontact ultrasonic testing techniques are also reviewed, air-coupled techniques in specific, and highlighted as a fine alternative to conventional contact inspection systems as they reduce the restrictions that coexist with the use of couplants. Moreover, these ultrasonic testing techniques are summarized to show the latest research progress achieved in the field of air-coupled ultrasonic inspection systems for manufacturing defects’ monitoring in composite structures including delamination, porosity, dryness, waviness, and resin lack/excess. Finally, we highlight the type and central frequency of the transducers and experimental results present in literature and obtained in terms of both detection and size of the defects.

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Section: Ultrasonic Monitoring Techniquesmentioning

confidence: 99%

“…or contact-based UT for detection of defects born at the manufacturing stage in composite structures. 20,112,113,167–173 Yet, only few have focused on the development of ACUT techniques for real manufacturing defects’ inspection. The results of these studies are discussed here.…”

Section: Ut Performed Using Acts With Several Configurationsmentioning

confidence: 99%

Noncontact nondestructive ultrasonic techniques for manufacturing defects monitoring in composites: a review

Mortada,

El Mousharrafie,

Mahfoud

et al. 2023

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…However, the influence of various external loading conditions [ 3 , 4 , 5 , 6 , 7 ], such as low-velocity impacts, can significantly affect the load-bearing capacity of composites, thus seriously compromising the safety of the structural system. Many studies have used non-destructive testing methods such as thermal imaging [ 8 ] and ultrasonic C-scanning [ 9 ] to locate and evaluate invisible damage in composite structures. However, these methods require specialized equipment and cannot quickly locate the damaged area.…”

Section: Introductionmentioning

confidence: 99%

Deep Transfer Learning Approach for Localization of Damage Area in Composite Laminates Using Acoustic Emission Signal

Zhao

Xie

et al. 2023

Polymers

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Intelligent composite structures with self-aware functions are preferable for future aircrafts. The real-time location of damaged areas of composites is a key step. In this study, deep transfer learning was used to achieve the real-time location of damaged areas. The sensor network obtained acoustic emission signals from different damaged areas of the aluminum alloy plate. The acoustic emission time-domain signal is transformed into the input image by continuous wavelet transform. The convolutional neural network-based model automatically localized the damaged area by extracting features from the input image. A small amount of composite acoustic emission data was used to fine-tune some network parameters of the basic model through transfer learning. This enabled the model to classify the damaged area of composites. The accuracy of the transfer learning model trained with 900 samples is 96.38%, which is comparable to the accuracy of the model trained directly with 1800 samples; the training time of the former is only 17.68% of that of the latter. The proposed method can be easily adapted to new composite structures using transfer learning and a small dataset, providing a new idea for structural health monitoring.

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“…The defects and damages, such as delamination, degumming, and corrosion, are usually found by Non-Destructive Testing (NDT )2,3 . Ultrasonic detection is the most popular approach and thus develops dramatically in NDT 4 . Compared to the metallic material, the composite one presents large acoustic attenuation and physical anisotropy, which bring difficulties to site test.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic detection of aircraft composite structures by using a high-sensitivity and high-reliability TPU sensor

Wang

2023

Fourteenth International Conference on Information Optics and Photonics (CIOP 2023)

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Non-Destructive Detection of Real Defects in Polymer Composites by Ultrasonic Testing and Recurrence Analysis

Cited by 24 publications

References 52 publications

Noncontact nondestructive ultrasonic techniques for manufacturing defects monitoring in composites: a review

Noncontact nondestructive ultrasonic techniques for manufacturing defects monitoring in composites: a review

Deep Transfer Learning Approach for Localization of Damage Area in Composite Laminates Using Acoustic Emission Signal

Ultrasonic detection of aircraft composite structures by using a high-sensitivity and high-reliability TPU sensor

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