Lamb wave interaction with delamination in orthotropic plate

Nissabouri, Salah; Allami, Mhammed El; Boutyour, El Hassan; Errkik, A.

doi:10.1145/3167486.3167545

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…This can weaken the joint and lead to structural failure. To control the welded parts, many technics can be employed such as: visual or manual inspection, radiographic, ultrasonic testing [6], [7], control by eddy current, evaluating the defects is difficult due to fact that it requires an experimented operator, time consuming and subjective.…”

Section: Introductionmentioning

confidence: 99%

Towards an automatic classification of welding defect by convolutional neural network and robot classifier

Salah,

Hamza,

Mustapha

et al. 2024

IJEECS

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The control process of welding requires manual operations, and this consumes time. Robot classifier can help by automatic detection of welding defect and by taking rapid actions to correct in situ the defect. This paper presents a convolutional neural network (CNN) model developed to classify the welding defect like splash, twisty, overlap, edge and copper adhesion based on machine vision. Using a resistance spot welding (RSW) dataset the CNN model was trained and evaluated to achieve the best performance. The batch size was varied to quantify its effect on the precision of the model. The model can predict the type of welding surface by confidence of 99.86%.

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Section: Introductionmentioning

confidence: 99%

Towards an automatic classification of welding defect by convolutional neural network and robot classifier

Salah,

Hamza,

Mustapha

et al. 2024

IJEECS

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show abstract

“…In a previous paper [7] we established the theoretical model of lamb waves' propagation in orthotropic plate. To get deeper insight of these phenomena, this work proposes a numerical study to simulate the lamb waves' interaction with symmetrical delamination…”

Section: Introductionmentioning

confidence: 99%

Numerical characterization of Symmetric Delamination in Orthotropic plate using Lamb waves

Nissabouri¹,

Allami²,

Boutyour³

2019

Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 20

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In this paper we study numerical modeling of Lamb waves propagation and its interaction with the edges of symmetric delamination in unidirectional orthotropic plate [0] 4. The simulations were carried out using ABAQUS CAE by exciting the fundamental A 0 Lamb mode in the frequency 300 kHz. The delamination was then characterized by analyzing the signal picked up at two sensors using two technics: two Dimensional Fast Fourier Transform (2D-FFT) to identify the propagating and converted modes, and Wavelet Transform (WT) to measure the arrival times. The results showed that the mode A 0 is sensible to symmetric delamination. Besides, based on signal changes with the delamination edges, a localization method is proposed to estimate the position and the length of the delamination.

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Lamb wave interaction with delamination in orthotropic plate

Cited by 2 publications

References 14 publications

Towards an automatic classification of welding defect by convolutional neural network and robot classifier

Towards an automatic classification of welding defect by convolutional neural network and robot classifier

Numerical characterization of Symmetric Delamination in Orthotropic plate using Lamb waves

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