Damage characterization of carbon/epoxy composites using acoustic emission signals wavelet analysis

Khamedi, Ramin; Abdi, Saeed; Ghorbani, Amir; Ghiami, Amir; Erden, Seçkin

doi:10.1080/09276440.2019.1601939

Cited by 22 publications

(13 citation statements)

References 26 publications

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“…Numerous denoising techniques have been introduced and implemented in the literature as a pre-processing tool outside of the data collecting system (Liu et al, 2018;Khamedi et al, 2019;He et al, 2020;Ji et al, 2018). Fast Fourier Transform (FFT) is a widely used denoising algorithm that is typically included into commercial AE data collecting systems.…”

Section: Introductionmentioning

confidence: 99%

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2022

Scope (Work-based Learning)

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This special issue of Scope: Contemporary Research Topics (Work-based Learning) on Technology focuses on emerging scientific and technological trends across a broad range of fields.Scope: Contemporary Research Topics (Work-based Learning) focuses on contemporary research in assessment of prior learning; learning in, for, and about work, and professional practice. It is concerned with critical debate about practice, theory, and history, and their relationships as manifested in the experiences of learners, practitioners, and researchers in work-based learning and professional practice.

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Section: Introductionmentioning

confidence: 99%

Untitled

2022

Scope (Work-based Learning)

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“…Yet, we must first shortly discuss the power and considerations of the AE measurements, as these diagnostic and prognostic algorithms rely on the recorded AE data. AE data can be considered quite powerful as it has been used to, among others, detect damage initiation, 18,19 distinguish different damage types, 20,21 and to predict residual strength 22,23 and remaining useful life. 24,25 Yet, a great challenge with implementing AE technique is that its measurements are influenced by a variety of factors, such as sensor type, placement, and coupling.…”

Section: Introductionmentioning

confidence: 99%

Fusion-based damage diagnostics for stiffened composite panels

Broer

Galanopoulos

Benedictus

et al. 2021

Structural Health Monitoring

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Conducting damage diagnostics on stiffened panels is commonly performed using a single SHM technique. However, each SHM technique has both its strengths and limitations. Rather than straining the expansion of single SHM techniques going beyond their intrinsic capacities, these strengths and limitations should instead be considered in their application. In this work, we propose a novel fusion-based methodology between data from two SHM techniques in order to surpass the capabilities of a single SHM technique. The aim is to show that by considering data fusion, a synergy can be obtained, resulting in a comprehensive damage assessment, not possible using a single SHM technique. For this purpose, three single-stiffener carbon–epoxy panels were subjected to fatigue compression after impact tests. Two SHM techniques monitored damage growth under the applied fatigue loads: acoustic emission and distributed fiber optic strain sensing. Four acoustic emission sensors were placed on each panel, thereby allowing for damage detection, localization, type identification (delamination), and severity assessment. The optical fibers were adhered to the stiffener feet’ surface, and its strain measurements were used for damage detection, disbond localization, damage type identification (stiffness degradation and disbond growth), and severity assessment. Different fusion techniques are presented in order to integrate the acoustic emission and strain data. For damage detection and severity assessment, a hybrid health indicator is obtained by feature-level fusion while a complementary and cooperative fusion of the diagnostic results is developed for damage localization and type identification. We show that damage growth can be monitored up until final failure, thereby performing a simultaneous damage assessment on all four SHM levels. In this manner, we demonstrate that by proposing a fusion-based approach toward SHM of composite structures, the intrinsic capacity of each SHM technique can be utilized, leading to synergistic effects for damage diagnostics.

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“…Liquid-coupled ultrasonics can be used for inspection of internal defects/damage, and couplants (water or gels) are usually needed. There is ongoing research on other non-destructive testing (NDT) techniques for more accurate evaluation and convenient implementation, such as acoustic emission (2)(3)(4)(5)(6)(7)(8) , guided waves (9)(10)(11)(12)(13)(14)(15)(16)(17)(18) (e.g. 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…”

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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Damage characterization of carbon/epoxy composites using acoustic emission signals wavelet analysis

Cited by 22 publications

References 26 publications

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Fusion-based damage diagnostics for stiffened composite panels

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

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