An Experimental Study of Self-diagnosis of Interlaminar Damage in Carbon-fiber Composites

Ngabonziza, Yves; Ergun, Hale; Kuznetsova, Regina; Li, J.; Liaw, Benjamin; Delale, F.; Chung, Jou-Ku

doi:10.1177/1045389x09347019

Cited by 10 publications

(2 citation statements)

References 32 publications

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“…40 Along with self-diagnostic properties induction techniques, composites' work environment greatly influences self-diagnostic properties, as composites exhibit different structural health monitoring trends in different testing environments and methods. 41 An integrated network of piezoelectric transducers and carbon fibers in laminated composites is considered a highly efficient method of structural health monitoring, and the method is preferable in aerospace applications. 42 Metallic bolts are an integral part of heavy machinery and infrastructures; embedding small self-diagnostic composite sensors on the bolts induces self-diagnostic properties in the whole metallic bolt.…”

Section: Introductionmentioning

confidence: 99%

Development of knitted reinforced structures with self-diagnostic function for composite applications

Abbas

Ahmad

Zahid

et al. 2022

Journal of Industrial Textiles

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The research aims the development of knitted reinforcement structures for inducing self-diagnostic properties into knitted reinforced composites for structural health monitoring. Conductive carbon fiber was used in knitted inlaid structures as inlay yarns, and l × 1 Rib knitted base fabric of polyester filament yarn was used for knitting. The reinforcement’s conductive nature induced self-diagnostic properties into composites using correlation of mechanical damages and changes in electrical resistance values. Single and double stimuli layers and inlay patterns of 3 × 1, 6 × 1 and 9 × 1 was used to check their impact on self-diagnostic properties. Mechanical testing and real-time electrical resistance monitoring proved knitted structures as a solution to induce self-diagnostic properties into composite materials. Composites having double stimuli (conductive) layers exhibited better self-diagnostic properties than single stimuli layer composites, and the self-diagnostic properties also improved as the inlay pattern of reinforcement moved from 9 × 1 to 6 × 1 and 3 × 1 inlay. Such knitted reinforced self-diagnostic composites could be practically used in structural health monitoring applications, e.g., complicated structures of large buildings infrastructures and machinery which require record of each minor happening with structures to keep smooth and successful running of the system.

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Section: Introductionmentioning

confidence: 99%

Development of knitted reinforced structures with self-diagnostic function for composite applications

Abbas

Ahmad

Zahid

et al. 2022

Journal of Industrial Textiles

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“…Nevertheless, it was already proven that there is a relationship between the electrical properties (conductivity and permittivity) and mechanical (strain) or structural integrity (damages) of conductive FRPs, so that the composite itself can be used as a sensor (self-sensing) in NDE or structural health monitoring (SHM) systems (Abry et al, 2001; Böger et al, 2008; Kupke et al, 2001; Ngabonziza et al, 2010; Schüler et al, 2001; Todoroki, 2008; Yang et al, 2007). Such conductive composites are for instance materials like carbon fiber–reinforced plastics (CFRPs) or glass fiber–reinforced plastics (GFRPs) doped with conductive particles like carbon nanotubes or carbon dust (Kostopoulos et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

A new imaging approach for in situ and ex situ inspections of conductive fiber–reinforced composites by magnetic induction tomography

Renner

Marschner

Fischer

2013

Journal of Intelligent Material Systems and Structures

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Fiber-reinforced plastics for industrial applications face constantly increasing demands regarding efficiency, reliability, and economy. Furthermore, it was shown that fiber-reinforced plastics with tailored reinforcements are superior to metallic or monolithic materials. However, a trustworthy description of the load-specific failure behavior and damage evolution of composite structures can hardly be given, because these processes are very complex and are still not entirely understood. Among other things, several research groups have shown that material damages like fiber fracture, delamination, matrix cracking, or flaws can be discovered by analyzing the electrical properties of conductive composites, for example, carbon fiber-reinforced plastics. Furthermore, it was shown that this method could be used for structural health monitoring or nondestructive evaluation. Within this study, magnetic induction tomography, which is a new imaging approach, is introduced in the topic of nondestructive evaluation of carbon fiber-reinforced plastics. This non-contacting imaging method gains the inner spatial distribution of conductivity of a specimen and depicts material inhomogeneity, like damages, not only in two-dimensional images but also in three-dimensional images. Numerical and experimental investigations are presented, which give a first impression of the performance of this technique. It is demonstrated that magnetic induction tomography is a promising approach for nondestructive evaluation. Potentially, it can be used for fabrication quality control of conductive fiber-reinforced plastics and as a structural health monitoring system using an integrated or superficially applied magnetic induction tomography setup.

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A review to elucidate the multi-faceted science of the electrical-resistance-based strain/temperature/damage self-sensing in continuous carbon fiber polymer-matrix structural composites

Chung

2023

J Mater Sci

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An Experimental Study of Self-diagnosis of Interlaminar Damage in Carbon-fiber Composites

Cited by 10 publications

References 32 publications

Development of knitted reinforced structures with self-diagnostic function for composite applications

Development of knitted reinforced structures with self-diagnostic function for composite applications

A new imaging approach for in situ and ex situ inspections of conductive fiber–reinforced composites by magnetic induction tomography

A review to elucidate the multi-faceted science of the electrical-resistance-based strain/temperature/damage self-sensing in continuous carbon fiber polymer-matrix structural composites

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