Acoustic Emission Characterisation of Failure Modes in Hemp/Epoxy and Glass/Epoxy Composite Laminates

Kumar, C. Suresh; Arumugam, V.; Sajith, S.; Dhakal, Hom Nath; John, Risil

doi:10.1007/s10921-015-0306-8

Cited by 24 publications

(13 citation statements)

References 21 publications

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“…22 Peak frequency analysis based on the principle that each failure mode generates an AE signal, which is related to the amount of strain energy released from the materials. Based on the peak frequency ranges, 23,24 the failure modes are classified as matrix cracking, fiber matrix interfacial debonding, delamination and fiber failure are 60-120 kHz, 130-180 kHz, 190-260 kHz and 270-320 kHz, respectively. In addition that the failure modes in the indented laminates are classified according to low energy with high frequency, low energy with medium frequency, medium energy with medium frequency and high energy with low frequency in AE signals are related to fiber failure, delamination, fiber matrix interfacial debonding and matrix cracking, respectively.…”

Section: Analysis Of Ae Activities During Indentationmentioning

confidence: 99%

“…In addition that the failure modes in the indented laminates are classified according to low energy with high frequency, low energy with medium frequency, medium energy with medium frequency and high energy with low frequency in AE signals are related to fiber failure, delamination, fiber matrix interfacial debonding and matrix cracking, respectively. 24 However, the frequency ranges of fiber matrix interfacial debonding and delamination are somehow overlapping. 25 The percentage of AE hits related to dominant failure modes during 0 and 20 indentation loading in UD and CP laminates for the displacement of 2 mm and 3 mm are shown in Figure 10.…”

Section: Analysis Of Ae Activities During Indentationmentioning

confidence: 99%

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Investigation of indentation damage resistance on normal and inclined plane of glass/epoxy composite laminates using acoustic emission monitoring

Jayababu¹,

Arumugam

Rajesh

et al. 2020

Journal of Composite Materials

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This work relates to the investigation of indentation induced damage resistance in glass fiber reinforced polymer composite laminates under normal and inclined planes. Uni-directional [0] and cross-ply [0/90] glass fiber reinforced polymer composite specimens were subjected to 0° and 20° indentation loading with acoustic emission monitoring. The specimens were loaded at the centre using a hemispherical steel indenter with 12.7 mm diameter. Mechanical responses such as force–displacement behavior, absorbed energy and resulting damage area were used for the quantification of the indentation damage. Acoustic responses such as normalized cumulative counts, energy, duration and peak frequency were considered for monitoring damage progression during 0° and 20° indentation loading. The residual compressive strength of the glass fiber reinforced polymer specimens following indentation was measured by testing them under in-plane loading, once again with acoustic emission monitoring. The correlation between mechanical and acoustic strain energy was used for the evaluation of the damage severity of the laminates. The result revealed indentation damage resistance in cross-ply laminates as 65.08% and 68.01% higher than uni-directional laminates for 0°, whereas for 20°, there was a reduction in the damage resistance in cross-ply laminates to 43.27% and 57.39%. These were higher than uni-directional laminates under the displacements of 2 mm and 3 mm, respectively. The conclusion from these results was that transverse shear load at 20° inclination of laminate leads to reduction in residual compressive strength. Moreover, uni-directional glass/epoxy laminates have better residual compressive strength than cross-ply laminates for both 2 mm and 3 mm indentation displacements.

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Section: Analysis Of Ae Activities During Indentationmentioning

confidence: 99%

Section: Analysis Of Ae Activities During Indentationmentioning

confidence: 99%

Investigation of indentation damage resistance on normal and inclined plane of glass/epoxy composite laminates using acoustic emission monitoring

Jayababu¹,

Arumugam

Rajesh

et al. 2020

Journal of Composite Materials

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“…At below 40% of load, some of the specimens have no hits occurring in them and at above 70% of load, input parameters are increasing and varying drastically to a very high value. This may be attributed to echo of failure on the specimen at the time of increasing damage in it at higher loads [11,12,32]. So input parameters used for training are considered from 40% to 70% load for least error.…”

Section: Selection Of Range Of Input Parameters For Trainingmentioning

confidence: 99%

Failure strength prediction of glass/epoxy composite laminates from acoustic emission parameters using artificial neural network

et al. 2017

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“…Time-scale methods or signal-based approach is used to determine new relevant descriptors to be introduced in the classification process to improve the characterization and the discrimination of the failure modes. 13,15 Pashmforoush et al 16 used Davies-Bouldin (DB) index and harmony search k-means algorithms for discrimination of AE signals where the highest frequency contents were represented as fiber breakage, while signals with the lowest frequency contents were related to matrix cracking. The frequency range of debonding was between matrix cracking and fiber breakage.…”

Section: Introductionmentioning

confidence: 99%

Optimization of acoustic emission parameters to discriminate failure modes in glass–epoxy composite laminates using pattern recognition

Pabitha

Ramasamy

et al. 2018

Structural Health Monitoring

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In this article, to overcome the challenges encountered during the discrimination of various failure modes in post impacted/indented glass-fiber-reinforced plastic, techniques like pattern recognition method and advanced signal processing were employed. The significant acoustic emission parameters such as amplitude, rise time, counts, energy, duration, and peak frequency that are acquired during compression after impact test are considered as inputs to cluster validity index and for various clustering techniques such as k-means, fuzzy C-means, and Kohonen's self-organizing map. The acoustic emission count-frequency and amplitude-frequency have no overlapping, whereas other combinations of acoustic emission parameters result in overlapping with four clusters. The clustering techniques are validated by discrete wavelet transform of acoustic emission signals. The discrete wavelet transform was performed on the clustered acoustic emission signals to identify the percentage of energy and frequency content of each level which correlates the different failure modes. The results infer that k-means, fuzzy C-means clustering, and Kohonen's self-organizing map are 94.5%, 97.1%, and 98.6% reliability, respectively, clearly suggesting Kohonen's self-organizing map as the most appropriate technique for the classification of acoustic emission signature.

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Acoustic Emission Characterisation of Failure Modes in Hemp/Epoxy and Glass/Epoxy Composite Laminates

Cited by 24 publications

References 21 publications

Investigation of indentation damage resistance on normal and inclined plane of glass/epoxy composite laminates using acoustic emission monitoring

Investigation of indentation damage resistance on normal and inclined plane of glass/epoxy composite laminates using acoustic emission monitoring

Failure strength prediction of glass/epoxy composite laminates from acoustic emission parameters using artificial neural network

Optimization of acoustic emission parameters to discriminate failure modes in glass–epoxy composite laminates using pattern recognition

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