An Approach to Size Sub-Wavelength Surface Crack Measurements Using Rayleigh Waves Based on Laser Ultrasounds

Li, Haiyang; Pan, Qianghua; Zhang, Xiaolin; An, Zhiwu

doi:10.3390/s20185077

Cited by 16 publications

(6 citation statements)

References 22 publications

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“…Zeng et al [22] used the finite element method to investigate the relationship between the crack orientation and the LU spectrum. Li et al [23] studied the different reflection and transmission capabilities of different components of SAWs at cracks, and analyzed the relationship between the depth of surface cracks and the critical wavelength of surface SAWs. The above studies prove the feasibility of using SAWs to detect surface microcracks in metallic cylinders.…”

Section: Introductionmentioning

confidence: 99%

Laser Ultrasonic Automatic Detection Method for Surface Microcracks on Metallic Cylinders

Zhang

Feng

et al. 2023

Photonics

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Metallic cylinders are widely used in various fields of industrial production, and the automatic detection of surface microcracks is of great significance to the subsequent grinding process. In this paper, laser-excited surface acoustic waves (SAW) are used to detect surface microcracks. Due to the dispersion of SAWs on the cylinder surface, the SAWs exhibit different polarities at different positions. In order to improve the consistency of signals and the accuracy of the modeling, the angle at which the polarity is completely reversed is selected as the detection point. A laser ultrasonic automatic detection system is established to obtain signals, and the B-scan image is drawn to determine the location of the microcrack. By comparing the time–frequency diagrams of the reflected SAWs and transmitted SAWs, the transmitted wave is chosen to establish the microcrack depth prediction model. In addition, according to the trajectory of the grinding wheel, a prediction model based on the absolute depth of the microcracks is established, and the influence of the orientation of the microcracks on the signal energy is considered. The method proposed in this paper can provide a reference for the rapid grinding of microcracks on the surface of metallic cylinders; it has the characteristics of visualization and high efficiency, and overcomes the shortcomings of the currently used eddy current testing that provides information on the depth of microcracks with difficulty.

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Section: Introductionmentioning

confidence: 99%

Laser Ultrasonic Automatic Detection Method for Surface Microcracks on Metallic Cylinders

Zhang

Feng

et al. 2023

Photonics

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“…The acquired data indicated the detectable depth for metals via the laser ultrasonic technique. The studies using reflection and transmission coefficients [ 13 , 14 , 15 , 16 ] relied on the frequency-spectrum method on account that the amplitude of reflected and transmitted waves must be extracted in the frequency spectrum.…”

Section: Introductionmentioning

confidence: 99%

A Sensitive Frequency Range Method Based on Laser Ultrasounds for Micro-Crack Depth Determination

Jiang

Deng

et al. 2022

Sensors

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The laser ultrasonic method using the characteristics of transmitted Rayleigh waves in the frequency domain to determine micro-crack depth is proposed. A low-pass filter model based on the interaction between Rayleigh waves and surface cracks is built and shows that the stop band, called the sensitive frequency range, is sensitive to the depth of surface cracks. The sum of transmission coefficients in the sensitive frequency range is defined as an evaluated parameter to determine crack depth. Moreover, the effects of the sensitive frequency range and measured distance on the evaluated results are analyzed by the finite-element method to validate the robustness of this depth-evaluating method. The estimated results of surface cracks with depths ranging from 0.08 mm to ~0.5 mm on the FEM models and aluminum-alloy samples demonstrate that the laser ultrasounds using the characteristics of Rayleigh waves in the frequency domain do work for quantitative crack depth.

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“…Second, regarding the frequency domain methods, Edwards [4] and Zhou [5] used the reflection coefficient and transmission coefficient in the frequency domain to evaluate the crack depth. Li [6] adopted the critical frequency at which the threshold phenomenon occurred due to the energy transformation of transmission and reflection Rayleigh waves to determine the size of subwavelength surface cracks. Shakibi [7] developed a practical algorithm to increase the time resolution of an ultrasonic system to inspect pipeline girth welds via deconvolution with autoregressive spectral extrapolation.…”

Section: Introductionmentioning

confidence: 99%

“…Shakibi [7] developed a practical algorithm to increase the time resolution of an ultrasonic system to inspect pipeline girth welds via deconvolution with autoregressive spectral extrapolation. The referenced studies [4][5][6][7] are analyses in the frequency domain, and these developments helped researchers find more information in the ultrasound waves in addition to the time domain. To obtain a more comprehensive description of crack size, characteristic parameters in the time-frequency domain are also employed.…”

Section: Introductionmentioning

confidence: 99%

Depth and Angle Evaluation of Oblique Surface Cracks Using a Support Vector Machine Based on Seven Parameters

Liu

Deng

et al. 2022

Applied Sciences

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To intelligently and quickly verify the depths and angles of oblique surface cracks using the laser ultrasound technique, a crack geometry information evaluation method using a support vector machine (SVM) is proposed. The relationships between several parameters—which are based on transmitted waves and reflected waves containing crack geometry information in the time domain, frequency domain and time–frequency domain, and crack size—are presented in detail. To decide which feature parameters are involved in the SVM model, two selection standards are proposed according to the correlations between feature parameters and crack size and between the feature parameters themselves. Finally, a seven-feature-parameter SVM model which has an excellent ability to classify oblique crack depths and angles is built. The results of simulations using the finite element method (FEM) and experimental data show that seven parameters based on the SVM model are available for the oblique surface crack depth and angle evaluation and can be used to nondestructively detect natural cracks.

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An Approach to Size Sub-Wavelength Surface Crack Measurements Using Rayleigh Waves Based on Laser Ultrasounds

Cited by 16 publications

References 22 publications

Laser Ultrasonic Automatic Detection Method for Surface Microcracks on Metallic Cylinders

Laser Ultrasonic Automatic Detection Method for Surface Microcracks on Metallic Cylinders

A Sensitive Frequency Range Method Based on Laser Ultrasounds for Micro-Crack Depth Determination

Depth and Angle Evaluation of Oblique Surface Cracks Using a Support Vector Machine Based on Seven Parameters

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