Defect types and non-destructive testing techniques for composites and bonded joints

Cawley, P.; Adams, RD

doi:10.1179/mst.1989.5.5.413

Cited by 35 publications

(13 citation statements)

References 23 publications

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“…During the manufacturing process or the operation time, several flaws can occur in the CFRP (Cawley and Adams, 1989). The development of these materials cannot be done without an efficient nondestructing testing (NDT) method.…”

Section: Introductionmentioning

confidence: 99%

Thermo inductive nondestructive testing method applied to CFRP

Bui

Wasselynck

Trichet

et al. 2013

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose -In this paper, a thermo inductive nondestructing testing (NDT) modeling applied to carbon fiber reinforced polymer (CFRP) composite is presented. The paper aims to discuss these issues. Design/methodology/approach -A multi-scale approach is used to calculate the electromagnetic and thermal field distribution. Findings -The temperature perturbation due to the presence of flaws can be detected at the surface of the composite by an infrared camera. Originality/value -The developed 3D thermomagnetic model can be used to study the efficiency of the thermal inductive method for different kind of flaws, inductors and frequencies.

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Section: Introductionmentioning

confidence: 99%

Thermo inductive nondestructive testing method applied to CFRP

Bui

Wasselynck

Trichet

et al. 2013

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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“…Croccolo et al [4] use acoustic emission as condition monitoring technique for the evaluation of defect densities in adhesive bonding to predict the actual failure load of the adhesive joint. Some of these techniques, like acoustic emission are online methods for determining the damage progression in bonded joints and composites as reported by Cawley [5] and De Freitas [6] respectively. Such online methods enable to predict the onset and progression of damage under the mechanical load.…”

Section: Introductionmentioning

confidence: 99%

Condition monitoring of crack extension in the reinforcement adhesive joints by carbon nanotubes

2020

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Carbon nanotubes (CNT) are ideally suited to be employed for damage sensing in fiber rein- forced composite structures. In this work, the capability of CNTs for crack extension of a single lap Al-Al adhesive joints (SLJ) under shear load is studied using electrical resistance change. Different weight per- cent of CNT are added to epoxy adhesive. Epoxy adhesive with high concentration of CNT is obtained during shear loading to have the maximum strength and provide the best sensory properties. To provide a more concise evaluation of the crack extension in the adhesive layer under shear load, artificial defects are embedded into the SLJ specimens. The effects of square and circular defects with two different sizes on the crack extension in the adhesive layer are evaluated. The results showed that the maximum relative resistance change has occurred by 220% when the microcracks are initiated and accordingly developed from the nanoadhesive and changed its direction from the Square defect boundary. Additionally, in comparison with interface fracture in defective adhesive joint, when a part of crack grows through the adhesive layer, the resistance change showed higher values.

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“…Carbon Fiber Reinforced Polymer (CFRP) is one of the most widely used multilayer composites in aerospace due to its specific features, such as high ratio of strength to weight, high modulus, and high fatigue resistance. Discrete defects, like larger voids, delaminations, and cracks can occur during manufacturing or service process, and they may result in a significant loss of mechanical properties [1]. Thus, early defect detection is essential to avoid serious problems that are caused by defects.…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Method for Characterizing Discrete Defects in Thick Multilayer Composites

et al. 2019

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Discrete defects in thick composites are difficult to detect for the small size and the structure noise that appears in multilayer composites. In this paper, a nonlinear method, called recurrence analysis, has been used for characterizing discrete defects in thick section Carbon Fiber Reinforced Polymer (CFRP) with complex lay-up. A 10 mm thick CFRP specimen with nearly zero porosity was selected, and blind holes with different diameters were artificially constructed in the specimen. The second half of the backscattered signal was analyzed by recurrence analysis for areas with or without a defect. The recurrence plot (RP) visualized the chaotic behavior of the ultrasonic pulse, and the statistical results of recurrence quantification analysis (RQA) characterized the instability of the signal and the effect of defects. The results show that the RQA variable differences are related to the size of blind holes, which give a probable detection of discrete geometric changes in thick multilayer composites.

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Defect types and non-destructive testing techniques for composites and bonded joints

Cited by 35 publications

References 23 publications

Thermo inductive nondestructive testing method applied to CFRP

Thermo inductive nondestructive testing method applied to CFRP

Condition monitoring of crack extension in the reinforcement adhesive joints by carbon nanotubes

A Nonlinear Method for Characterizing Discrete Defects in Thick Multilayer Composites

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