Research Progress in Nonlinear Ultrasonic Testing for Early Damage in Metal Materials

Yan, Xiaohui; Wang, Houpu; Fan, Xiaozhi

doi:10.3390/ma16062161

Cited by 18 publications

(17 citation statements)

References 95 publications

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“…Solid dielectric materials all have nonlinear behavior, according to nonlinear Hooke's law, the nonlinear relationship between stress and strain is as follows [33] It is assumed that the incident wave is a single frequency longitudinal wave, which is received by the ultrasonic probe after propagating in the material. Assuming that the attenuation is ignored, the wave equation for a one-dimensional p-wave can be expressed as…”

Section: Nonlinear Ultrasonic Measurementmentioning

confidence: 99%

Comparative study of linear and nonlinear ultrasound applied to the detection of hydrogen damage in 7N01 aluminum alloy

Qin,

Chen,

Qiu

et al. 2024

Phys. Scr.

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7N01 aluminum alloy samples with different hydrogen damage degrees were prepared by electrochemical hydrogen charging technology. 7N01 aluminum alloy samples with different degrees of hydrogen damage were characterized by metallographic observation, hardness test and XRD test. The results show that the hydrogen content increases with the increase of hydrogen charging time. The surface of aluminum alloy is exfoliated and pits appear. The more severe the hydrogen damage, the greater the depth of pits. The microhardness of the 7N01 aluminum alloy decreases after hydrogen damage, which only occurs near the surface. After electrochemical hydrogen charging, AlH3 appears in the structure of 7N01 aluminum alloy, which is the result of increased hydrogen concentration. The ultrasonic echo signals of hydrogen damaged samples were obtained by a high frequency longitudinal probe ultrasonic detection device, and the results of linear and nonlinear ultrasonic detection were compared. Traditional linear ultrasonic detection parameters such as sound velocity and attenuation coefficient do not change significantly in the early stage of hydrogen damage, but increase significantly in the late stage of hydrogen damage. Due to the change of microstructure, the nonlinear coefficient increases approximately linearly in the early stage of hydrogen damage and decreases in the late stage of hydrogen damage. This study demonstrates the potential for combining linear and nonlinear ultrasonic measurements in hydrogen environment to more comprehensively study hydrogen damage.

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Section: Nonlinear Ultrasonic Measurementmentioning

confidence: 99%

Comparative study of linear and nonlinear ultrasound applied to the detection of hydrogen damage in 7N01 aluminum alloy

Qin,

Chen,

Qiu

et al. 2024

Phys. Scr.

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“…Material of the micro cracks under different loading showed different growth trends, eventually lead to fracture. Ultrasonic testing has been applied in non-destructive testing of revolved workpieces [3][4][5][6][7][8][9]. Among these, the frame scan attached to the rotary shaft is the main form of detection and the parts that need to be tested are usually solid axes or pipe fittings with little change in diameter [10].…”

Section: Introductionmentioning

confidence: 99%

Robot-Assisted Ultrasonic Testing Technology for Complex Revolved Workpiece

Wang,

Zhang,

et al. 2024

J. Phys.: Conf. Ser.

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High temperature, fatigue, and impact are the main causes of internal cracks in revolved workpieces. Crack propagation assessment is an effective method to avoid fracture. Ultrasonic testing has been widely used when testing internal cracks in revolved workpieces. However, the existing ultrasonic detection equipment makes it difficult to detect revolved workpieces with complex structures. This paper proposes an automation system including six degrees of freedom (DOF) robot, ultrasonic transducer, and turntable. The system can realize non-destructive testing automatically for complex revolved workpieces. A new method is designed to measure and correct verticality error and eccentricity error. The method was applied to detect complex revolved workpieces and the detecting resolution can be effectively improved.

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“…Some AE variants have made significant progress in NDT data analysis. Convolutional AE (CAE) [ 19 ] can use activation functions to extract nonlinear features, which helps analyze nonlinear, multinoise ultrasonic data [ 20 ]. The deep AE (DAE) [ 21 ] was successfully employed to analyze infrared thermography defect signals, and the output of the intermediate hidden layer was visualized to accentuate the defects.…”

Section: Introductionmentioning

confidence: 99%

Stable 3D Deep Convolutional Autoencoder Method for Ultrasonic Testing of Defects in Polymer Composites

Liu,

Yu,

Liu

et al. 2024

Polymers

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Ultrasonic testing is widely used for defect detection in polymer composites owing to advantages such as fast processing speed, simple operation, high reliability, and real-time monitoring. However, defect information in ultrasound images is not easily detectable because of the influence of ultrasound echoes and noise. In this study, a stable three-dimensional deep convolutional autoencoder (3D-DCA) was developed to identify defects in polymer composites. Through 3D convolutional operations, it can synchronously learn the spatiotemporal properties of the data volume. Subsequently, the depth receptive field (RF) of the hidden layer in the autoencoder maps the defect information to the original depth location, thereby mitigating the effects of the defect surface and bottom echoes. In addition, a dual-layer encoder was designed to improve the hidden layer visualization results. Consequently, the size, shape, and depth of the defects can be accurately determined. The feasibility of the method was demonstrated through its application to defect detection in carbon-fiber-reinforced polymers.

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Research Progress in Nonlinear Ultrasonic Testing for Early Damage in Metal Materials

Cited by 18 publications

References 95 publications

Comparative study of linear and nonlinear ultrasound applied to the detection of hydrogen damage in 7N01 aluminum alloy

Comparative study of linear and nonlinear ultrasound applied to the detection of hydrogen damage in 7N01 aluminum alloy

Robot-Assisted Ultrasonic Testing Technology for Complex Revolved Workpiece

Stable 3D Deep Convolutional Autoencoder Method for Ultrasonic Testing of Defects in Polymer Composites

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