Application of Acoustic Emission Technology for Quantitative Characterization of Plasma-Sprayed Coatings Subjected to Bending Fatigue Tests

Jing, Jian-nong; Dong, Lihong; Wang, Haidou; Guo, Jingjie

doi:10.1007/s11666-018-0750-y

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…We need to detect the stress parts of metallic structures, or the position where cracks have occurred to ensure their safe and reliable operation. At present, common methods used in metallic crack detection and characterization include ultrasonic testing [8], eddy current testing [9], infrared thermal imaging [10], acoustic emission [11], and other nondestructive testing technologies. These nondestructive testing technologies have the disadvantages of complex system, expensive equipment, inconvenient installation and networking.…”

Section: Introductionmentioning

confidence: 99%

Passive Ultra High Frequency RFID sensor with reference tag for crack detection of aluminum alloy structure

Wang¹,

Dong²,

Wang³

et al. 2021

J. Inst.

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It can be ensured safe and reliable operation of a metallic structure by monitoring the positions which are easy to crack. Because the channel changes with the environment, a tag sensor in the ultra high frequency (UHF) is vulnerable to interference. This paper aims to investigate the reliability of passive RFID sensor systems with a reference tag for crack detection of aluminum alloy structures when the condition of reading distance and surrounding environment changes. The impedance and gain of tags are simulated, which provides theoretical basis for experimental analysis. With an increase of crack depth, the impedance of the sensor tag shifts to the low frequency direction, and the reference tag changes slightly. When dual tags are placed orthogonally, the gain of the sensor tag changes greatly, which means that it is more sensitive to crack depth. The backscatter power of the sensor tag shows a decline trend, and the power of the reference tag remains unchanged. The sensor features a linear response with the variation of crack depth. The sensitivity of crack characterization is better when dual tags are placed orthogonally.

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Section: Introductionmentioning

confidence: 99%

Passive Ultra High Frequency RFID sensor with reference tag for crack detection of aluminum alloy structure

Wang¹,

Dong²,

Wang³

et al. 2021

J. Inst.

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High-Sensitivity Internal Crack Detection Antenna Sensor Based on Metamaterial

Zhai,

Jiang,

Xuan

et al. 2023

2023 International Conference on Microwave and Millimeter Wave Technology (ICMMT)

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Research on Acid Aging and Damage Pattern Recognition of Glass Fiber-Reinforced Plastic Oil and Gas Gathering Pipelines Based on Acoustic Emission

Bi,

Zhang,

Zhang

et al. 2024

Polymers

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Pipelines extend thousands of kilometers to transport and distribute oil and gas. Given the challenges often faced with corrosion, fatigue, and other issues in steel pipes, the demand for glass fiber-reinforced plastic (GFRP) pipes is increasing in oil and gas gathering and transmission systems. However, the medium that is transported through these pipelines contains multiple acid gases such as CO2 and H2S, as well as ions including Cl−, Ca2+, Mg2+, SO42−, CO32−, and HCO3−. These substances can cause a series of problems, such as aging, debonding, delamination, and fracture. In this study, a series of aging damage experiments were conducted on V-shaped defect GFRP pipes with depths of 2 mm and 5 mm. The aging and failure of GFRP were studied under the combined effects of external force and acidic solution using acoustic emission (AE) techniques. It was found that the acidic aging solution promoted matrix damage, fiber/matrix desorption, and delamination damage in GFRP pipes over a short period. However, the overall aging effect was relatively weak. Based on the experimental data, the SSA-LSSVM algorithm was proposed and applied to the damage pattern recognition of GFRP. An average recognition rate of up to 90% was achieved, indicating that this method is highly suitable for analyzing AE signals related to GFRP damage.

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Application of Acoustic Emission Technology for Quantitative Characterization of Plasma-Sprayed Coatings Subjected to Bending Fatigue Tests

Cited by 3 publications

References 35 publications

Passive Ultra High Frequency RFID sensor with reference tag for crack detection of aluminum alloy structure

Passive Ultra High Frequency RFID sensor with reference tag for crack detection of aluminum alloy structure

High-Sensitivity Internal Crack Detection Antenna Sensor Based on Metamaterial

Research on Acid Aging and Damage Pattern Recognition of Glass Fiber-Reinforced Plastic Oil and Gas Gathering Pipelines Based on Acoustic Emission

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