Electromagnetically induced acoustic emission—novel NDT technique for damage evaluation

Finkel, Peter; Godinez, Valery; Miller, R.W.; Finlayson, Richard D.

doi:10.1063/1.1373964

Cited by 17 publications

(8 citation statements)

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“…The difference is that the conducting structure under test itself serves as an ac current contour and, in the presence of the static magnetic field, will be a source of stress waves generated by the Lorentz force mechanism. Thus, acoustic waves can be produced by localized 0018-9464/04$20.00 © 2004 IEEE electromagnetic power and detected by conventional ultrasonic or acoustic emission transducers [1]. In order to introduce the electromagnetic energy into a part we can use: 1) direct coupling when current is injected via electrical terminals or 2) eddy current induced by dynamic electromagnetic field.…”

Section: Mechanism Of Electromagnetic Stimulation Of Elastic Wavementioning

confidence: 99%

“…I T was shown by Finkel et al [1], [2] that it is possible to use electromagnetic stimulation to produce acoustic emission (AE) signals used to locate small flaws or cracks in thin-walled structures nondestructively to allow inspection of specific areas without loading the whole structure. Reliable and accurate flaw detection and sizing is critical in ensuring the structural integrity of the airframe structures.…”

Section: Introductionmentioning

confidence: 99%

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Electromagnetic Stimulation of the Ultrasonic Signal for Nondestructive Detection of Ferromagnetic Inclusions and Flaws

Finkel¹,

Godinez²

2004

IEEE Trans. Magn.

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In this paper, the method of nondestructive detection based on electromagnetic modulation of the ultrasonic signal scattered from the inclusions or defects has been reported. The electromagnetically induced high-density current pulse generates transient stress fields which alter the ultrasonic waves scanning the part with the defect and modulate the ultrasonic signal due to magnetoelastic coupling, magnetostriction, or the "crack closure" effect. The results of applying electromagnetic transient modulation of the ultrasonic echo pulse tone-burst suggest that this method could be used to enhance detection of small cracks and ferromagnetic inclusions in thin-walled metallic structures.

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Section: Mechanism Of Electromagnetic Stimulation Of Elastic Wavementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electromagnetic Stimulation of the Ultrasonic Signal for Nondestructive Detection of Ferromagnetic Inclusions and Flaws

Finkel¹,

Godinez²

2004

IEEE Trans. Magn.

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“…Among the rail health monitoring techniques, electromagnetic acoustic emission (EMAE) is a novel non-destructive testing (NDT) technique, which is based on the improvement of the acoustic emission (AE) method [4,5]. EMAE mainly extracts the transient elastic waves generated by the rapid release of energy at the tip of the defect using the local electromagnetic excitation to the rail defect [6].…”

Section: Introductionmentioning

confidence: 99%

Rail crack defect recognition based on a multi-feature fusion algorithm using electromagnetic acoustic emission technique

Chang

Zhang

Song

et al. 2023

Meas. Sci. Technol.

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Multi-feature fusion has been widely used to enhance recognition accuracy for different health stages of rail, which may lead to high-dimensionality and information redundancy of signal. In addition, conventional supervised methods require plenty of labeled samples with class information, which can lead to significant time and economic costs. In order to improve the effectiveness of the electromagnetic acoustic emission (EMAE) technique in rail crack defect recognition, a novel method including multi-feature fusion based on weakly supervised learning and recognition threshold construction, is proposed in this paper. First, a mechanism contains of multi-feature extraction and feature selection, is developed to fully reflect the information of different health stages of rail and avoid interference caused by the ineffective features. Then, the effective features and a novel weakly unsupervised label are input into the self-normalizing convolutional neural network and long short-term memory (SCNN-LSTM) model to construct the rail health indicator (RHI). Finally, the recognition threshold is calculated by the characteristics of RHI, to achieve crack recognition automatically. Furthermore, the experimental results under different working conditions demonstrate that the proposed method achieves higher recognition performance than other existing methods in rail crack defect recognition.

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“…Electromagnetic acoustic emission is a kind of non destructive testing(NDT). It generates the Lorentz force excitation acoustic emission signal by electromagnetic loading of conductive metal and its alloy specimens to achieve the detection of defects in the specimen [1][2][3][4] . The basic principle is that when electromagnetic excitation acts on a metal specimen with defects (such as cracks, pores or inclusions), a high density current is formed at defective area due to the current concentration effect, which generates the Lorentz force excitation acoustic emission signal at the defective part of metal and its alloy specimens.…”

Section: Introductionmentioning

confidence: 99%

Research on finite element analysis and signal denoising based on electromagnetic acoustic emission

Yang

Lai²,

Li³

2022

2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022)

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In order to investigate the feasibility of acoustic emission phenomenon aroused by electromagnetic excitation in metal specimens, electromagnetic acoustic emission model based on COMSOL software was established. On this basis, electromagnetic acoustic emission experiments were carried out and real signals with a lot of noise were obtained. To remove the noise of the electromagnetic acoustic emission signal, wavelet packet transform and complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN) was introduced. Firstly, the noise signal of low-frequency was removed by the wavelet packet transform, and the retained node signal was reconstructed. Then the reconstructed signal was resolved by CEEMDAN, and the effective component signal was obtained by the variance contribution rate. Finally, to obtain denoised electromagnetic acoustic emission signal, the effective component signal was reconstructed. The result of simulation and experiment shows that the electromagnetic acoustic emission signal could be effectively obtained by loading electromagnetic excitation, which has greater practical value in engineering applications.

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Electromagnetically induced acoustic emission—novel NDT technique for damage evaluation

Cited by 17 publications

References 0 publications

Electromagnetic Stimulation of the Ultrasonic Signal for Nondestructive Detection of Ferromagnetic Inclusions and Flaws

Electromagnetic Stimulation of the Ultrasonic Signal for Nondestructive Detection of Ferromagnetic Inclusions and Flaws

Rail crack defect recognition based on a multi-feature fusion algorithm using electromagnetic acoustic emission technique

Research on finite element analysis and signal denoising based on electromagnetic acoustic emission

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