Detection of delamination defects in CFRP materials using ultrasonic signal processing

Benammar, Abdessalem; Drai, Redouane; Guessoum, Abderrezak

doi:10.1016/j.ultras.2008.04.005

Cited by 69 publications

(35 citation statements)

References 11 publications

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“…It is commonly stated that the typical damage behaviour in laminated composites consists of transverse micro-cracking, followed by delamination and, eventually, fibre breakage [11]. Our results are in line with this view since, for tensile loads up to 30 kN, the dominant non-linearity is that of the 2nd harmonic and the generation of even harmonics has been shown to arise predominantly from a form of 'clapping' nonlinearity consistent with the opening and closing of microcracks [16].…”

Section: Harmonic Generation Testssupporting

confidence: 88%

“…Various non-destructive testing (NDT) methods, such as electrical, X-ray imaging and tomography, thermography, acoustic emission and ultrasonic inspection, have therefore been developed for the detection of defects in CFRP materials, components and structures [1][2][3][4][5][6][7][8][9][10]. Of these, ultrasonic NDT is probably the most widespread, with linear ultrasonic C-scan imaging and Lamb-wave measurement techniques being the most well-known [8,[11][12][13][14]. These well-established linear acoustic methods rely on the measurement of the reverberation, reflection, scattering, transmission or absorption of acoustic energy.…”

Section: Introductionmentioning

confidence: 99%

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Design, development and testing of multi-functional non-linear ultrasonic instrumentation for the detection of defects and damage in CFRP materials and structures

Armitage

Wright

2013

Composites Science and Technology

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A multi-functional non-linear ultrasonic testing approach is presented for in-situ and ex-situ detection of a variety of defects (e.g. micro-cracking, delamination and disbonding) induced by various damage mechanisms (stress, impact, heat) in CFRP materials and structures. Such multi-functionality is provided via programmable and re-configurable instrumentation that incorporates a wide range of non-linear ultrasonic testing regimes, including harmonic and overtone generation, inter-modulation product generation, resonant frequency shift and pulse-inversion techniques. The capabilities of this multi-functional approach to defect detection are demonstrated by examining CFRP samples subjected to various forms of damage, specifically stress, impact and heat induced damage. We show that the multi-functional non-linear approach is well-suited to the detection of such forms of damage and that the pulse-inversion technique, largely 'ignored' in the CFRP literature, potentially provides a powerful, but as yet un-tapped, simple and effective route to the defect and damage detection. AbstractA multi-functional non-linear ultrasonic testing approach is presented for in-situ and exsitu detection of a variety of defects (e.g. micro-cracking, delamination and disbonding)induced by various damage mechanisms (stress, impact, heat) in CFRP materials and structures. Such multi-functionality is provided via programmable and re-configurable instrumentation that incorporates a wide range of non-linear ultrasonic testing regimes, including harmonic and overtone generation, inter-modulation product generation, resonant frequency shift and pulse-inversion techniques. The capabilities of this multifunctional approach to defect detection are demonstrated by examining CFRP samples subjected to various forms of damage, specifically stress, impact and heat induced damage. We show that the multi-functional non-linear approach is well-suited to the detection of such forms of damage and that the pulse-inversion technique, largely 'ignored' in the CFRP literature, potentially provides a powerful, but as yet un-tapped, simple and effective route to the defect and damage detection.

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Section: Harmonic Generation Testssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Design, development and testing of multi-functional non-linear ultrasonic instrumentation for the detection of defects and damage in CFRP materials and structures

Armitage

Wright

2013

Composites Science and Technology

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“…Thermography [75,79] X X X Ultrasonic [21,28] X X X Radiographic inspections [67] X X X Vibrometry [110,226] X X X Acoustic emission [108] X X X Eddy current techniques [233] X X X Magnetic leakage-flux [210,216] X X X Observation of micro-sections [126] X X Density measurement [209] X X Residual stresses X-ray diffraction [16,185] X X X X Hole drilling [16] X X X Neutron diffraction [16] X X Focused acoustic waves [185] X X applicable measurement principles and categorizes them according their capability into in-situ or offline as well as destructive (DT) or nondestructive (NDT) specimen testing. A measurement principle is categorized as in-situ if process control is feasible without specimen sampling and if the evaluation time is shorter than the time during which process parameters change significantly.…”

Section: Property Monitoringmentioning

confidence: 99%

Metal forming beyond shaping: Predicting and setting product properties

et al. 2015

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“…In this section we evaluate the robustness of the proposed SSP-MPSD algorithm compared to our previous work [7]. For easy comparison with previous published results, we have used the same ultrasonic synthetic signal with different levels of signal to noise ratio.…”

Section: Simulation Studymentioning

confidence: 99%

“…Widely used methods at the present time are split spectrum processing [3][4][5][6][7], wavelet method [8][9][10][11][12][13][14][15][16], the high resolution pursuit (HRP) [17][18], and the chirplet transform [19][20]. The results are presented in various forms, so a direct comparison is very difficult.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Flaw Detection in Composite Materials Using SSP-MPSD Algorithm

Benammar¹,

Drai²

2014

Journal of Electrical Engineering and Technology

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-Due to the inherent inhomogeneous and anisotropy nature of the composite materials, the detection of internal defects in these materials with non-destructive techniques is an important requirement both for quality checks during the production phase and in service inspection during maintenance operations. The estimation of the time-of-arrival (TOA) and/or time-of-flight (TOF) of the ultrasonic echoes is essential in ultrasonic non-destructive testing (NDT). In this paper, we used split-spectrum processing (SSP) combined with matching pursuit signal decomposition (MPSD) to develop a dedicated ultrasonic detection system. SSP algorithm is used for Signal-to-Noise Ratio (SNR) enhancement, and the MPSD algorithm is used to decompose backscattered signals into a linear expansion of chirplet echoes and estimate the chirplet parameters. Therefore, the combination of SSP and MPSD (SSP-MPSD) presents a powerful technique for ultrasonic NDT. The SSP algorithm is achieved by using Gaussian band pass filters. Then, MPSD algorithm uses the Maximum Likelihood Estimation. The good performance of the proposed method is experimentally verified using ultrasonic traces acquired from three specimens of carbon fibre reinforced polymer multi-layered composite materials (CFRP).

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Detection of delamination defects in CFRP materials using ultrasonic signal processing

Cited by 69 publications

References 11 publications

Design, development and testing of multi-functional non-linear ultrasonic instrumentation for the detection of defects and damage in CFRP materials and structures

Design, development and testing of multi-functional non-linear ultrasonic instrumentation for the detection of defects and damage in CFRP materials and structures

Metal forming beyond shaping: Predicting and setting product properties

Ultrasonic Flaw Detection in Composite Materials Using SSP-MPSD Algorithm

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