Study on dispersion and attenuation of laser-induced surface acoustic wave by grinding surface roughness

Liang, Xiaohu; Lin, Bin; Liu, Zaiwei; Ma, Xiaokang

doi:10.1016/j.apacoust.2022.109028

Cited by 5 publications

(4 citation statements)

References 33 publications

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“…Figures 2A, B show the received signal in the time domain and time-frequency domain after TFA for a broadband pulsed sound source in the frequency band of 100-300 Hz propagating for 10 km in a Pekeris waveguide. The environmental parameters are as follows: depth H = 100 m, SSP in water c 0 = 1500 m/ s, depth of the sound source z s = 28 m at the node of mode 4, seabed speed of sound c b = 1800 m/s, and density ρ b = 1.6 g/cm 3 .…”

Section: Modal Propagation Theorymentioning

confidence: 99%

“…This research is of great importance in national defense applications and in marine biolocation. However, most existing methods rely on sensor arrays [2,3], which are not only costly but also yield ranging results with high uncertainty, because the arrays are susceptible to the influence of the water environment. Ranging methods based on a single hydrophone have been proposed to address the shortcomings of array-based ranging methods [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water

Chen

et al. 2023

Front. Phys.

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Introduction: The lack of prior knowledge of the marine environment increases the difficulty of passive ranging of underwater sound sources by using a single hydrophone. The dispersion curve of the normal mode contains extensive marine environmental information, which can be extracted without prior knowledge, but the characteristics of dispersion curves of different modes vary, and the mode order cannot be determined from the received data.Methods: Herein, a method based on a single hydrophone that can jointly identify the mode order and estimate the propagation range in unknown marine environment is proposed. The method uses Bayesian theory as the main methodology and is applicable to broadband pulse sound sources in shallow seas with long-range propagation. The dispersion curves extracted from the data and those calculated by the dispersion formula are the input signal and the replica of the methods, respectively. Accurate identification of the normal mode order and estimation of the propagation range can be achieved by establishing the joint cost function.Results: In the case of unknown a priori knowledge of the marine environment, the method enables rapid inversion, is tolerant to environmental parameter mismatch, and is low cost and practical.Discussion: The simulation and measured data analysis results demonstrate the accuracy and validity of the method. The measured data contains linear frequency modulation impulse source signal and explosion sound source signals, and the mean relative error of range estimation is less than 5%.

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Section: Modal Propagation Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water

Chen

et al. 2023

Front. Phys.

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“…The eigenvectors corresponding to the maximum eigenvalues are [0.4124, −0.5012, 0.7384, 0.7384, 0.5788] and [−0.4075, 0.4632, 0.1653, 0.1653, 0.1653, −0.4250]. The weights can be obtained through Formulas ( 12) and (13). Here, W i represents the weight corresponding to the i eigenvector, λ i denotes the eigenvalue corresponding to the i factor, and W R represents the final total weight.…”

Section: Solving For Equilibrium Weights 231 Subjective Weight Analys...mentioning

confidence: 99%

“…The results show that zirconium-based bulk metallic glass has a good milling performance. Liang Xiaohu et al [13] evaluated the effect of roughness on SAW dispersion and attenuation and reduction of bias in the assessment of machined surface damage. In order to investigate the surface integrity of titanium alloys at different roughness levels, Guiyun Jiang et al [14] repeatedly ground the surfaces with the same and different types of abrasive belt models.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Study of Surface Roughness Process Parameters in Belt Grinding Titanium Alloys

Shang,

Hu,

Qiao

2023

Metals

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In order to obtain the optimum range of process parameters for abrasive belt grinding of titanium alloys to achieve a surface roughness within a given range, titanium alloy TC4 was selected as the research object, and experiments on abrasive belt grinding surface roughness were conducted. Firstly, an empirical formula for the surface roughness of titanium alloys after abrasive belt grinding was constructed based on the balanced weight analysis of the process parameters for titanium alloy surface roughness. Sensitivity analysis was carried out to identify the process parameters with the greatest effect on surface roughness, and the stable and unstable domains of the process parameters were determined. Combined with range analysis in orthogonal experiments, the influence curves of the process parameters on surface roughness were obtained, and the optimal parameter ranges were selected. The research results showed that surface roughness is the most sensitive to changes in abrasive grain size and the least sensitive to changes in abrasive belt linear speed. The optimal ranges of abrasive grain size, abrasive belt linear speed, and grinding pressure were determined to be 120# to 150#, 15 m/s to 20 m/s, and 10 N to 15 N, respectively. This study provides a theoretical method and experimental basis for the control of surface roughness in abrasive belt grinding of titanium alloys.

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Influence of surface roughness on laser ultrasonic detection for laser powder bed fusion manufactured 316L stainless steel

Yin,

Hu,

et al. 2024

Journal of Materials Research and Technology

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Study on dispersion and attenuation of laser-induced surface acoustic wave by grinding surface roughness

Cited by 5 publications

References 33 publications

A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water

A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water

Sensitivity Study of Surface Roughness Process Parameters in Belt Grinding Titanium Alloys

Influence of surface roughness on laser ultrasonic detection for laser powder bed fusion manufactured 316L stainless steel

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