Characterization of mean grain size of interstitial-free steel based on laser ultrasonic

Zhang, Yanjie; Wang, Xiaochen; Yang, Quan; Dong, Feng; Du, Xiaozhong; Yin, Anmin

doi:10.1007/s10853-018-2038-5

Cited by 17 publications

(8 citation statements)

References 26 publications

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“…It can be seen from Tables 3 and 6 that with the increase of the reduction rates, the grain size decreases slightly, but the attenuation coefficient of the ultrasonic wave increases obviously. Studies have shown that the attenuation coefficient increases with the increment of grain size [16,17,24]. Furthermore, the precipitated phase size increased significantly, so the increase in the precipitated phase size of the sample is the main influencing factor for the change of ultrasonic attenuation.…”

Section: Attenuation Coefficientmentioning

confidence: 99%

“…Based on the thermal bombing and ablation mechanism, the pulsed laser focuses on the surface of the sample to generate ultrasonic waves, and the microstructure of the material is characterized by measuring the characteristic changes of the ultrasonic waves. It has developed rapidly in recent years and has been used in grain size [17,18], grain size distribution [19], thickness [20], and texture [21] evaluation.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of Precipitation in 7055 Aluminum Alloy by Laser Ultrasonics

Zhu

Peng

et al. 2021

Metals

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After different rolling conditions, four 7055 aluminum alloy samples with different precipitation sizes were measured by scanning electron microscope, transmission electron microscope and laser ultrasonic. The attenuation coefficients of ultrasound measured by laser ultrasonic were calculated in the time domain, frequency domain and wavelet denoising, respectively. The relationship between the precipitate size and attenuation coefficient was established. The results show that the attenuation of the ultrasonic wave is related to the size of the precipitated phase; this provides a new method for rapid non-destructive testing of the precipitation of aluminum alloys.

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Section: Attenuation Coefficientmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Characterization of Precipitation in 7055 Aluminum Alloy by Laser Ultrasonics

Zhu

Peng

et al. 2021

Metals

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“…The algorithm extracts the wavelet packet decomposition coefficients of the denoised signal as characteristic data to quantitatively classify the ultrasonic echo data. Zhang [9] used the wavelet packet transformation (WPT) to decompose the original laser ultrasound signal and analyzed the energy attenuation in the time-frequency domain. After the analysis of the reconstructed signals, the characterization's accuracy is improved.…”

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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“…The common evaluation method of corrosion resistance is electrochemical test, but the experimental process is complicated and time-consuming and it is destructive experimental method. There are many studies [15][16][17] have shown that laser ultrasonic nondestructive testing has high sensitivity to the mean grain size of polycrystalline materials. Therefore, a laser ultrasonic method for evaluating corrosion resistance can be realised based on the in uence of mean grain size on corrosion resistance.…”

Section: Introductionmentioning

confidence: 99%

Laser ultrasonic Evaluation of 316L Corrosion Resistance Based on the Influence of Grain Size

Zhu

Yin

et al. 2022

Preprint

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Several 316L samples with different grain size and distribution were conducted with different heat treatments, and then each samples were measured by scanning electron microscope(SEM), Laser ultrasonic, and Electrochemistry. Longitudinal wave echoes were used to calculate the attenuation of ultrasound after wavelet transform. The results show that the average grain size will affect the corrosion resistance of the sample, and the attenuation of ultrasonic waves has a high sensitivity to the average grain size. Finally, a laser ultrasonic evaluation method for 316L corrosion resistance based on the influence of mean grain size on corrosion resistance is proposed, and it is a nondestructive testing method which could be used in online testing.

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Characterization of mean grain size of interstitial-free steel based on laser ultrasonic

Cited by 17 publications

References 26 publications

Characterization of Precipitation in 7055 Aluminum Alloy by Laser Ultrasonics

Characterization of Precipitation in 7055 Aluminum Alloy by Laser Ultrasonics

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

Laser ultrasonic Evaluation of 316L Corrosion Resistance Based on the Influence of Grain Size

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