Non-destructive testing for carbon-fiber-reinforced plastic (CFRP) using a novel eddy current probe

Wu, Dehui; Cheng, Fang Chao; Yang, Fan; Huang, Chao-Tsai

doi:10.1016/j.compositesb.2019.107460

Cited by 43 publications

(18 citation statements)

References 24 publications

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“…The digitalization of composite materials, textile constructions, and inhomogeneous structures in general is driven by the development of simulation models and the trends in digital design and manufacturing. The local material behavior of composite materials can be obtained from virtual predictions (forming simulations [ 1 , 2 , 3 ], drape simulations [ 4 , 5 , 6 ], flow simulations [ 7 , 8 , 9 ], or process-induced stress prediction [ 10 , 11 ]) or from destructive (microtome sections [ 12 , 13 ]) or non-destructive material examinations (computer tomography [ 14 , 15 , 16 ], eddy current analysis [ 17 , 18 ], thermography [ 19 , 20 ], or X-ray analysis [ 21 , 22 ]) on existing parts.…”

Section: Introductionmentioning

confidence: 99%

Machine Vision for As-Built Modeling of Complex Draped Composite Structures

et al. 2021

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The transition in the use of fiber composite structures from special applications to application in the mass market is accompanied by high demands in quality assurance. The consequential costs of unclear process design, unknown fiber orientations, and uncertainty regarding the effects of any fiber angle deviations can lead to market considerations (higher costs/time for development) in mass production that advise against the use of fiber composites, despite their superiority compared with conservative materials. Active monitoring of the deposited reinforcement layers and an evaluation of the real fiber orientation can form the basis of a robust industrial use of fiber composites by a first-time right production that is able to reduce the process variability. This paper describes the application of an image analysis system to provide both geometric topology and local reinforcement fiber orientation feedback to a finite-element (FE) model. The application during an industrial composite part production is described, and the possibilities of using it for the improvement of the lightweight character, the reduction of rejects, and the realization of a quality management system are shown. The determined component data are made directly available for use in numerical simulations and, thus, they serve as a non-destructive evaluation of the components under real conditions in which all production-dependent influences that affect the fiber orientation are incorporated.

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Section: Introductionmentioning

confidence: 99%

Machine Vision for As-Built Modeling of Complex Draped Composite Structures

et al. 2021

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“…piezoelectric transducer-based (19,20) and angle beam transducer-based (21,22) ), air-coupled ultrasonics (23)(24)(25)(26)(27)(28)(29)(30) , thermography (31)(32)(33)(34)(35)(36) , optical fibre sensing (37)(38)(39)(40)(41)(42) , digital image correlation (DIC) (43)(44)(45)(46)(47)(48) , electromagnetic testing (49)(50)(51) (e.g. eddy current (52)(53)(54)(55)(56)(57)(58) ) and X-ray imaging (59,60) . In particular, acoustic emission sensors are used to detect bursts of acoustic waves from the fracture events (e.g.…”

Section: Introductionmentioning

confidence: 99%

Review of microwave techniques used in the manufacture and fault detection of aircraft composites

Li¹,

Wang²,

Haigh³

et al. 2020

Aeronaut. j.

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Microwaves are a form of electromagnetic radiation commonly used for telecommunications, navigation and food processing. More recently microwave technologies have found applications in fibre-reinforced polymer composites, which are increasingly used in aircraft structures. Microwave energy can be applied with low power (up to milliwatts) for non-destructive testing and high power (up to kilowatts) for heating/curing purposes. The state-of-the-art applications at high power include curing, three-dimensional (3D) printing, joining and recycling, whereas low-power microwave techniques can provide quality checks, strain sensing and damage inspection. Low-power microwave testing has the advantage of being non-contact, there is no need for surface transducers or couplants, it is operator friendly and relatively inexpensive; high-power microwave energy can offer volumetric heating, reduced processing time and energy saving with no ionising hazards. In this paper the recent research progress is reviewed, identifying achievements and challenges. First, the critical electromagnetic properties of composites that are closely related to the heating and sensing performance are discussed. Then, representative case studies are presented. Finally, the trends are outlined, including intelligent/automated inspection and solid-state heating.

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“…In recent studies, NDT technologies have been widely used and proven quite effective in inspection of damage in composite structures. The latest research on these technologies includes eddy current testing of manufacturing flaws and operational damage [3][4][5], microwave nondestructive evaluation of galvanic corrosion and impact damage [6][7][8], and guided wave detection for various composite damage types [9][10][11]. All of these localized experimental methods can locate and identify the damage when expression for linear and nonlinear autoregressive (GNAR) model and a generalized autoregressive conditional heteroscedasticity (GARCH) model.…”

Section: Introductionmentioning

confidence: 99%

Output-Only Damage Detection of Shear Building Structures Using an Autoregressive Model-Enhanced Optimal Subpattern Assignment Metric

Liu

Zhou

et al. 2020

Sensors

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This paper proposes a novel output-only structural damage indicator by incorporating the pole-based optimal subpattern assignment distance with autoregressive models to localize and relatively assess the severity of damages for sheared structures. Autoregressive models can model dynamic systems well, while their model poles can represent the state of the dynamic systems. Structural damage generally causes changes in the dynamic characteristics (especially the natural frequency, mode shapes and damping ratio) of structures. Since the poles of the autoregressive models can solve the modal parameters of the structure, the poles have a close relationship with the modal parameters so that the changes in the poles of its autoregressive model reflect structural damages. Therefore, we can identify the damage by tracking the shifts in the dynamic system poles. The optimal subpattern assignment distance, which is the performance evaluator in multi-target tracking algorithms to measure the metric between true and estimated tracks, enables the construction of damage sensitive indicator from system poles using the Hungarian algorithm. The proposed approach has been validated with a five-story shear-building using numerical simulations and experimental verifications, which are subjected to excitations of white noise, El Centro earthquake and sinusoidal wave with frequencies sweeping, respectively; the results indicate that this approach can localize and quantify structural damages effectively in an output-only and data-driven way.

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Non-destructive testing for carbon-fiber-reinforced plastic (CFRP) using a novel eddy current probe

Cited by 43 publications

References 24 publications

Machine Vision for As-Built Modeling of Complex Draped Composite Structures

Machine Vision for As-Built Modeling of Complex Draped Composite Structures

Review of microwave techniques used in the manufacture and fault detection of aircraft composites

Output-Only Damage Detection of Shear Building Structures Using an Autoregressive Model-Enhanced Optimal Subpattern Assignment Metric

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