Ultrasonic Feature-Based Classification of the Interfacial Condition in Composite Adhesive Joints

Dickstein, P. A.; Girshovich, S.; Sternberg, Y.; Sinclair, A. N.; Leibovitch, H.

doi:10.1080/09349849008968035

Cited by 3 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where n d is the number of the test samples within the local region of S t that are classified by the same classifier as class i, and n i counts the number of the correct classifications among the n d test samples. Laplace smoothing [37] is adopted in (14), and M is the number of the defect classes. Eq.…”

Section: S S S S S S S Smentioning

confidence: 99%

“…After the optimal classifier is selected for S t and it is assigned some class label i, the size of the defect is estimated by averaging the sizes of the n i samples in the local region [see (14)] that have the same class label i and are correctly classified by the optimal classifier. Finally, the probability of this decision is given by ( 14), and the probability that the defect belongs to class j (j ≠ i) is given by…”

Section: Sizing Of the Defect And Estimation Of The Class Probabilitymentioning

confidence: 99%

See 1 more Smart Citation

Characterization of defects using ultrasonic arrays: a dynamic classifier approach

Bai

Velichko

Drinkwater

2015

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

View full text Add to dashboard Cite

In the field of nondestructive evaluation, accurate characterization of defects is required for the assessment of defect severity. Defect characterization is studied in this paper through the use of the ultrasonic scattering matrix, which can be extracted from the array measurements. Defects that have different shapes are classified into different defect classes, and this essentially allows us to distinguish between crack-like defects and volumetric voids. Principal component analysis (PCA) is used for feature extraction, and several representational principal component subsets are found through exhaustive searching in which quadratic discriminant analysis (QDA) and support vector machine (SVM) are used as the pattern classifiers. Instead of choosing a single optimal classifier, the best classifier is dynamically selected for different measurements by estimating the local classifier accuracy. The proposed approach is validated in simulation and experiments. In simulation, the depths (lengths of the minor axes) of 4441 out of 4636 test samples are measured accurately, and the measurement errors (with respect to the defect size) are below 10%. Arbitrarily shaped rough volumetric defects are identified as ellipses, which are reasonably good matches in shape to the original defects. Experimentally, six subwavelength scatterers are characterized and sized to within 0.14λ.

show abstract

Section: S S S S S S S Smentioning

confidence: 99%

Section: Sizing Of the Defect And Estimation Of The Class Probabilitymentioning

confidence: 99%

Characterization of defects using ultrasonic arrays: a dynamic classifier approach

Bai

Velichko

Drinkwater

2015

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

View full text Add to dashboard Cite

show abstract

“…Taking advantage of UGW interaction with disbond defect, some features can be extracted to characterize the bonding weakness [34][35][36], among which time-based features have been more common and are the only prominent mechanism for this purpose [37][38][39][40][41]. Though Van Velsor [42] identified a feature based on the frequency content to study coating debonding in a multi-layered hollow cylinder using shear horizontal (SH) guided waves.…”

Section: Introductionmentioning

confidence: 99%

A novel application of ultrasonic Lamb waves: studying adhesive effects on the inspection of coating debonding in a three-layer waveguide

Mehrabi

Soorgee

Habibi

et al. 2020

Nondestructive Testing and Evaluation

View full text Add to dashboard Cite

In this research, a thorough experimental and numerical study is conducted to investigate a novel application of the ultrasonic Lamb waves which is its capability to detect of the coating disbond in a double-layer waveguide (aluminium-adhesive) and a triple-layer waveguide (aluminium-adhesive-coating). The experimental tests are set up and implemented to evaluate how the attenuation of Lamb waves is affected by the adhesive bonding beside the contribution of the coating layer to the behaviour of Lamb waves. The semi-analytical finite element (SAFE) method is employed to analyse and identify the properties of guided wave modes propagating along the coated structures. In the presence of additive white Gaussian noise (AWGN), a range of important indices including energy index (EI), amplitude index (AI), pulse width index (PWI), and the time of flight index (ToFI) are worked out in association with the disbond length. It is inferred that a) even in the very noisy environment of 0 dB SNR, the Lamb waves are effectively able to identify debonding defects particularly using the EI, giving sensitivity rates 105% and 30% for triple-layer and double-layer, respectively; b) the contribution of adhesive to the absorption of the guided wave energy is 30%, 40%, and 50% in EI, AI, and PWI, respectively, corroborating the value of the features to distinguish the debonding between each layer of bonded structures.

show abstract

“…Conventional ultrasonic techniques typically fail to detect poor adhesion between adhesive and adherend. Some researchers have tried to evaluate composite-to-composite adhesive joints [25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

“…Some researchers have tried to evaluate composite-to-composite adhesive joints. [28][29][30][31] Kissing bonds or zero volume bonds are defined as defects in which both surfaces are bonded together by compressive stress having zero molecular force acting upon them. If both surfaces are joined in such a manner that there is no shear stress between them, it is referred to as kissing bond.…”

Section: Introductionmentioning

confidence: 99%

Identification of an effective nondestructive technique for bond defect determination in laminate composites—A technical review

Asif

Khan

et al. 2018

Journal of Composite Materials

View full text Add to dashboard Cite

Laminate composites are commonly used for the production of critical mechanical structures and components such as wind turbine blades, helicopter rotors, UAV wings and honeycomb st ructures for aircraft wings. During the manufacturing process of these composite structures, z ones or areas with weak bond strength are always an issue which may affect the strength and p erformance of components. The identification and quantification of these zones are always ch allenging and necessary for the mass production. Non-destructive testing (NDT) methods avai lable, including ultrasonic A, B, and C-Scan, laser shearography, X-ray tomography and ther mography can be useful for the mentioned purposes. However, a comparison of these techniq ues concerning their capacity of identification and quantification of bond defect still needs a comprehensive review. In this paper, a detailed comparison of several NDT techniques is provided. Emphasis is placed to institute a guideline to select the most suitable technique for the identification of zones with bond defects in laminated composites. A literature review of NDT techniques informs us that the ultrasonic-based testing techniques are more effective for providing bond defect information as compared to their non-ultrasonic counterparts. Experimental tests on different

show abstract

Ultrasonic Feature-Based Classification of the Interfacial Condition in Composite Adhesive Joints

Cited by 3 publications

References 0 publications

Characterization of defects using ultrasonic arrays: a dynamic classifier approach

Characterization of defects using ultrasonic arrays: a dynamic classifier approach

A novel application of ultrasonic Lamb waves: studying adhesive effects on the inspection of coating debonding in a three-layer waveguide

Identification of an effective nondestructive technique for bond defect determination in laminate composites—A technical review

Contact Info

Product

Resources

About