Defect detection using the phased-array laser ultrasonic crack diffraction enhancement method

Gao, Feng; Zhou, Hong; Huang, Chao

doi:10.1016/j.optcom.2020.126070

Cited by 22 publications

(8 citation statements)

References 23 publications

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“…There was a finite element simulation study of surface defects with laser phased array Rayleigh waves [11]. It used the phased array principle to enhance the diffraction wave signal of the LGU detection of cracks and defects [12]. Zhou Z. performed finite element analysis on large-scale surface gaps in LGU inspection and studied the interaction between the Rayleigh wave generated by the laser and surface cracks [13].…”

Section: Introductionmentioning

confidence: 99%

Measuring the Depth of Subsurface Defects in Additive Manufacturing Components by Laser-Generated Ultrasound

Xue

Peng³

et al. 2022

Metals

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A new method to measure the depth of subsurface defects in additive manufacturing components is proposed based on the velocity dispersion analysis of Lamb waves by the wavelet-transform of laser ultrasound. Firstly, the mode-conversion from laser-generated surface waves to Lamb waves caused by subsurface defects at different depths is studied systematically. Secondly, an additive manufactured 316L stainless steel sample with six subsurface defects has been fabricated to validate the efficiency of the proposed method. The measured result of the defect depth is very close to the real designed value, with a fitting coefficient of 0.98. The defect depth range for high accuracy measurement is suggested to be lower than 0.8 mm, which is enough to meet the inspection of layer thickness during additive manufacturing. The result indicates that the proposed method based on laser-generated ultrasound (LGU) velocity dispersion analysis is robust and reliable for defect depth measurement and meaningful to improve the processing quality and processing efficiency of additive/subtractive hybrid manufacturing.

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Section: Introductionmentioning

confidence: 99%

Measuring the Depth of Subsurface Defects in Additive Manufacturing Components by Laser-Generated Ultrasound

Xue

Peng³

et al. 2022

Metals

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“…The ultrasonic flaw detection technique is a major type of pipe testing. Some studies [1][2][3][4][5] have shown that the technique has great potential for non-destructive testing applications. When ultrasound is traveling through the tested material, parts of the wave is reflected back by the flaw, and the waveform is changed.…”

Section: Introductionmentioning

confidence: 99%

A method of estimation for the area and direction of pipe crack

Chen

2022

J. Phys.: Conf. Ser.

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Crack direction will affect the ultrasonic wave reflected from it. Firstly, the correlation between crack direction and the reflected energy of ultrasonic is analyzed. Then, a mathematical model of crack direction and its reflected energy is developed due to the theory and methods of function approximation. Finally, aiming at the problem that the crack area must be known when using the model to estimate the crack direction, By observing the probability distribution of reflected wave energy of cracks with different areas and directions at different measurement distances, Using its law and mathematical model, an algorithm for estimating crack area and crack direction is designed. According to the related experiments, the study confirmed that both the estimation errors of the crack area and direction by the method are 5.25% and 8.21%, respectively.

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“…To achieve strictly non-destructive results, the thermoelastic mechanism needs to be utilized when the laser emits ultrasonic but at the same time, this method exhibits the disadvantage of low energy and a weak signal. To solve this problem, the laser phased array principle [ 8 ] can be used to convert the point-source light into a ring-shaped source [ 9 ] through a cone lens to achieve enhanced signal energy under the thermoelastic mechanism. Even so, the laser ultrasonic signal attenuates with an increasing propagation distance, and the signal is often drowned out by the noise.…”

Section: Introductionmentioning

confidence: 99%

Application of Variational Mode Decomposition and Whale Optimization Algorithm to Laser Ultrasonic Signal Denoising

Mao

Yang

Wang

et al. 2022

Sensors

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Laser ultrasound signal echoes are easily drowned out by the surrounding environmental noise in industrial field applications, and it is worthwhile to study methods of retaining the weak ultrasound signal during signal processing. To address this problem, this paper proposes to adopt the parameters optimized by the whale optimization algorithm to the variational mode decomposition (VMD) of laser ultrasound signals. The optimized parameters can avoid the frequency mixing and incomplete noise separation caused by the choice of artificial VMD parameters. The Hausdorff distance is applied in the process of reconstructing the signal to help accurately select the relevant modes and improve the signal-to-noise ratio. Simulation and experimental results show that the proposed method is feasible and effective compared with the other three available denoising methods.

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Defect detection using the phased-array laser ultrasonic crack diffraction enhancement method

Cited by 22 publications

References 23 publications

Measuring the Depth of Subsurface Defects in Additive Manufacturing Components by Laser-Generated Ultrasound

Measuring the Depth of Subsurface Defects in Additive Manufacturing Components by Laser-Generated Ultrasound

A method of estimation for the area and direction of pipe crack

Application of Variational Mode Decomposition and Whale Optimization Algorithm to Laser Ultrasonic Signal Denoising

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