A multi-parameter ultrasonic evaluation of mean grain size using optimization

Chen, Xi; Wu, Guanhua; Chen, Hao; Zhou, Zhenggan

doi:10.1016/j.ndteint.2019.05.003

Cited by 11 publications

(5 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The microstructures of the samples measured by an optical microscope are shown in Figure 2, and the microstructures of the samples measured by SEM are shown in Figure 3. Grain size is an important indicator in the quality control of metallic materials due to its influence on the mechanical properties of these materials (fatigue, creep, yield strength, and formability) [24,25]. With the increase of the reduction rates, the grains are significantly elongated.…”

Section: Grain Sizementioning

confidence: 99%

“…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%

See 1 more Smart Citation

Characterization of Precipitation in 7055 Aluminum Alloy by Laser Ultrasonics

Zhu

Peng

et al. 2021

Metals

View full text Add to dashboard Cite

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.

show abstract

Section: Grain Sizementioning

confidence: 99%

Section: Attenuation Coefficientmentioning

confidence: 99%

Characterization of Precipitation in 7055 Aluminum Alloy by Laser Ultrasonics

Zhu

Peng

et al. 2021

Metals

View full text Add to dashboard Cite

show abstract

“…There are many ultrasonic signal analyzing methods and denoising methods are proposed to decreased the error of mean grain size calculated. Chen hao [23] select the velocity, attenuation and backscattering obtained from ultrasonic signal to establish an optimized multi-parameter ultrasonic evaluation model for grain diameter. Li xiongbing [24] uses the wavelet analysis to obtain the ultrasonic attenuation coe cients of different scale factors, and the same representative scale and weight are employed to calculate the multi-scale attenuation coe cient,which improves the accuracy of the mean grain size model.…”

Section: Effect Of Mean Grain Size On the Ultrasonic Attenuationmentioning

confidence: 99%

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

Zhu

Yin

et al. 2022

Preprint

View full text Add to dashboard Cite

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.

show abstract

“…Titanium alloys are widely used in aerospace fields because of their high specific strength and corrosion resistance. Grain size significantly affects most mechanical properties of titanium alloys, such as tensile strength, yield stress, flow stress, and hardness, which are important parameters to characterize the properties of polycrystalline materials [1][2][3]. The conventional method of grain size characterization mainly includes metallographic observation and Electron Backscattering Diffraction (EBSD) [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Simulation of ultrasonic characterization for the microstructure of titanium alloy

Zhao,

Peng,

Kong

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

This paper describes a method of simulating the ultrasonic longitudinal wave (P-wave) propagation in titanium alloy. The two-dimensional geometric model of polycrystalline titanium alloy is established using the Voronoi algorithm. Then, the model was imported into COMSOL software for grid division and parameter setting. The continuous observation of P-wave propagation was realized after adding the physical field of sound pressure and the boundary condition. Further, the first and second transmitted P-wave obtained the ultrasonic attenuation spectrum (UAS). The inverse method determines the average grain size (AGS) by fitting the UAS. It was found that the AGS D ¯ = 47.5 μm of the titanium alloy was obtained by the least square fitting method, and the relative error between the inverse value of AGS and the set value in the model approached 5%.

show abstract

A multi-parameter ultrasonic evaluation of mean grain size using optimization

Cited by 11 publications

References 22 publications

Characterization of Precipitation in 7055 Aluminum Alloy by Laser Ultrasonics

Characterization of Precipitation in 7055 Aluminum Alloy by Laser Ultrasonics

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

Simulation of ultrasonic characterization for the microstructure of titanium alloy

Contact Info

Product

Resources

About