Transverse Tensile Deformation and Failure of Three-dimensional Five-directional Braided Carbon Fiber Composites

Zhou, Wei; Wei, Zhi-Yuan; Wang, Guang-fei; Han, Kang-ning; Ran, Lingkun; Ma, Lianhua

doi:10.1007/s12221-021-9199-6

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…Various non-destructive methods have been proposed so far for detecting delamination. [11][12][13] One of these methods is acoustic emission (AE), which enables real-time monitoring of the system and, hence, increases its reliability. 14 The advantages of using this method for composite failure inspection include the ability to monitor composite samples in real time and to distinguish between various types of failure, such as matrix cracking, fiber breakage, fiber-matrix debonding, and delamination.…”

Section: Introductionmentioning

confidence: 99%

Investigation of crack propagation in filament wound composite samples of Mode-I by using acoustic emission technique

Farajpour,

Najafabadi

2023

Journal of Composite Materials

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A common industrial method of fabricating composite structural is filament winding, which is widely used to manufacture axisymmetric components. One of the most prevalent damage mechanisms in these composite structures is delamination, which occurs in various types of loading. In this research, the mechanical behavior and propagation of the initial crack of Mode-I in carbon/epoxy filament wound (FW) composite curve beams have been investigated via the acoustic emission (AE) method. For this purpose, at first, a composite tube was made with considering the artificial interlayer separation, and the beam specimens were cut from the longitudinal direction. At first, the initiation of the failures was determined using the AE method. Then, the growth and spread of interlayer delamination were investigated by the energy of AE signals and the sentry function. By determining the speed of the AE waves and providing a method to filter unwanted signals, the momentary position of the interlayer delamination tip during growth is predicted. The results showed that the fiber bridging phenomenon was due to the penetration of the two regions adjacent of the separation interface, and the fiber bridging length considerably affected the Mode-I delamination fracture toughness. In addition, the fracture toughness increased as the fiber bridging zone enlarged. Finally, good agreement was observed between the fracture toughness values obtained from the AE method and those found in the standard ASTM D5528.

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Section: Introductionmentioning

confidence: 99%

Investigation of crack propagation in filament wound composite samples of Mode-I by using acoustic emission technique

Farajpour,

Najafabadi

2023

Journal of Composite Materials

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“…weak bond, matrix cracking, delamination and fibre cracking) [2]. Glass fiber-reinforced plastics and carbon fiber-reinforced plastics have become popular in present engineering applications and it is expected that this practice will continue in the future also [3]. E-glass laminates have become more common in aviation components such as wings, fuselages, and stabilisers; as stronger, more durable, and tougher resins C such as epoxies have evolved [4].…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network based delamination prediction in composite plates using vibration signals

Sreekanth

Senthilkumar

Reddy

2022

Frattura Ed Integrità Strutturale

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Dynamic loading on composite components may induce damages such as cracks, delaminations, etc. and development of an early damage detection technique for delaminations is one of the most important aspects in ensuring the integrity and safety of composite components. The presence of damages such as delaminations on the composites reduces its stiffness and further changes the dynamic behaviour of the structures. As the loss in stiffness leads to changes in the natural frequencies, mode shapes, and other aspects of the structure, vibration analysis may be the ideal technique to employ in this case. In this research work, the supervised feed-forward multilayer back-propagation Artificial Neural Network (ANN) is used to determine the position and area of delaminations in GFRP plates using changes in natural frequencies as inputs. The natural frequencies were obtained by finite element analysis and results are validated by experimentation. The findings show that the suggested technique can satisfactorily estimate the location and extent of delaminations in composite plates.

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Experimental and numerical analysis of the Microstructure and mechanical properties of unidirectional glass fiber reinforced epoxy composites

Turaka,

Chintalapudi,

Kannaiyan Geetha

et al. 2024

Composite Structures

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Transverse Tensile Deformation and Failure of Three-dimensional Five-directional Braided Carbon Fiber Composites

Cited by 5 publications

References 36 publications

Investigation of crack propagation in filament wound composite samples of Mode-I by using acoustic emission technique

Investigation of crack propagation in filament wound composite samples of Mode-I by using acoustic emission technique

Artificial neural network based delamination prediction in composite plates using vibration signals

Experimental and numerical analysis of the Microstructure and mechanical properties of unidirectional glass fiber reinforced epoxy composites

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