Wavefield imaging of nonlinear ultrasonic Lamb waves for visualizing fatigue micro-cracks

Xu, Haiming; Liu, Lishuai; Li, Xuan; Xiang, Yanxun; Xuan, Fu-Zhen

doi:10.1016/j.ultras.2023.107214

Cited by 9 publications

(2 citation statements)

References 27 publications

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“…This method can counteract odd harmonics while highlighting the contribution of the even ones. Traditional SNR enhancement methods include amplifying the amplitude of the primary wave [35], introducing post-processing algorithms [36,37], etc. While these methods have demonstrated improvements in SNR for detection signals, they each have certain shortcomings and limitations.…”

Section: Soc Estimation By Qsc Generationmentioning

confidence: 99%

A novel approach for state-of-charge estimation of lithium-ion batteries by quasi-static component generation of ultrasonic waves

Yuan,

Wang,

et al. 2024

Meas. Sci. Technol.

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Lithium-ion batteries content complex internal components, such as porous media and electrolytes, which result in strong scattering and high attenuation of ultrasonic waves in these batteries. The low attenuative feature of the quasi-static components (QSC) of ultrasonic waves offers great potential for nondestructive assessment of highly attenuating and porous materials. This paper presents an innovative approach for estimating the state-of-charge (SOC) of lithium-ion batteries using QSC of ultrasonic waves. Experimental results demonstrate a clear and repeatable linear relationship between the amplitudes of the generated QSC and the SOC of lithium-ion batteries. In addition, the relationships between different SOCs of the battery and the conventional linear ultrasonic parameters, second harmonic generation (SHG), and the QSC were compared to verify the improved sensitivity of the proposed approach. Notably, compared to linear ultrasonic features and the SHG, the generated QSC shows much higher sensitivity to the variations of SOC. We employ the phase-reversal method to further enhance the signal-to-noise ratio (SNR) of measured QSC signals. The experimental results demonstrate that the proposed method exhibits a heightened sensitivity to changes in the SOC of batteries, resulting in significantly enhanced detection accuracy and resolution. This method effectively addresses the deficiencies observed in the current detection methods such as limited accuracy and sluggish response times. This method provides a new solution to overcome this challenge. Meanwhile, it also confirms that nonlinear ultrasound promises an alternative method for SOC assessment, providing a foundation for efficient and safe battery management practices.

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Section: Soc Estimation By Qsc Generationmentioning

confidence: 99%

A novel approach for state-of-charge estimation of lithium-ion batteries by quasi-static component generation of ultrasonic waves

Yuan,

Wang,

et al. 2024

Meas. Sci. Technol.

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“…Both mechanical properties influence fatigue resistance [6]. Consequently, there is a growing demand for non-destructive testing, NDT, and structural monitoring techniques to monitor damage in service and prevent catastrophic failures by reducing maintenance costs [7][8][9][10][11]. The most ordinary checks performed in the industrial field to verify the integrity of the structures are based on ultrasounds, eddy currents, penetrating liquids, and magnetic particles.…”

Section: Introductionmentioning

confidence: 99%

In Situ Fatigue Damage Monitoring by Means of Nonlinear Ultrasonic Measurements

Saponaro,

Nobile

2023

Metals

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In the present work, the results of acoustic nonlinear response of ultrasonic wave propagation when monitoring the progress of damage induced by fatigue on notched C45 carbon steel specimens have been reported. Two ultrasound probes were fixed to the specimens during the tests. The input signal was sinusoidal type, while the corresponding ultrasound response signal was acquired and recorded at each stage of the test by means of a digital oscilloscope. A nonlinear frequency study was performed on the acquired data to evaluate the change in the second- and third-order nonlinearity coefficients of β1 and β2, respectively, on the tested specimens. Ultrasonic results were correlated to plastic strain at the notch tip in the initial phases of fatigue and stiffness degradation. The results showed a significant increase in second-order nonlinearity β1 in the early stages of fatigue life. Subsequently, starting from about 30–40% of the fatigue life, the nonlinearity of β1 increases. Before final failure, from 80 to 85% of fatigue life, the second-order nonlinearity further increases in the crack propagation stages. The nonlinear parameter of the third-order β2 was less sensitive to damage than the parameter β1, showing a rapid increase only starting from approximately 80 to 85% of the fatigue life. The proposed method proved to be valid for detective damage induced by fatigue and to predict the lifetime of metal materials.

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Global-local damage localization and imaging in beam structures using laser-measured natural frequencies and guided wavefields

Sha,

Xiao,

Zuo

et al. 2024

Measurement

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Wavefield imaging of nonlinear ultrasonic Lamb waves for visualizing fatigue micro-cracks

Cited by 9 publications

References 27 publications

A novel approach for state-of-charge estimation of lithium-ion batteries by quasi-static component generation of ultrasonic waves

A novel approach for state-of-charge estimation of lithium-ion batteries by quasi-static component generation of ultrasonic waves

In Situ Fatigue Damage Monitoring by Means of Nonlinear Ultrasonic Measurements

Global-local damage localization and imaging in beam structures using laser-measured natural frequencies and guided wavefields

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