Simulation of laser-generated longitudinal and shear ultrasonic waves in a diamond anvil cell by the finite element method

Wen, Feng; Yang, Di; Zhu, Xiangchao; Guo, Yuning; Liao, Wei

doi:10.1063/1.3676253

Cited by 10 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, a time step that is too small will take a long time to compute. After previous investigations, when the rise time of the pulsed laser is in the nanosecond range, the time step is determined as 22 Δt = 1 180f max (14) Where f max is the highest frequency of the ultrasound. Therefore, the calculation time step can be determined by the highest frequency of the ultrasonic waves generated by the laser.…”

Section: Model and Simulation Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Research on laser ultrasonic surface defect identification based on a support vector machine

Chen

Zhang

2021

Science Progress

View full text Add to dashboard Cite

To solve the problem of difficult quantitative identification of surface defect depth during laser ultrasonic inspection, a support vector machine-based method for quantitative identification of surface rectangular defect depth is proposed. Based on the thermal-elastic mechanism, the finite element model for laser ultrasound inspection of aluminum materials containing surface defects was developed by using the finite element software COMSOL. The interaction process between laser ultrasound and rectangular defects was simulated, and the reflected wave signals corresponding to defects of different depths under pulsed laser irradiation were obtained. Laser ultrasonic detection experiments were conducted for surface defects of different depths, and multiple sets of ultrasonic signal waveform were collected, and several feature vectors such as time-domain peak, center frequency peak, waveform factor and peak factor were extracted by using MATLAB, the quantitative defect depth identification model based on support vector machine was established. The experimental results show that the laser ultrasonic surface defect identification model based on support vector machine can achieve high accuracy prediction of defect depth, the regression coefficient of determination is kept above 0.95, and the average relative error between the true value and the predicted value is kept below 10%, and the prediction accuracy is better than that of the reflection echo method and BP neural network model.

show abstract

Section: Model and Simulation Resultsmentioning

confidence: 99%

Section: Numerical Simulation and Experimentsmentioning

confidence: 99%

Research on laser ultrasonic surface defect identification based on a support vector machine

Chen

Zhang

2021

Science Progress

View full text Add to dashboard Cite

show abstract

“…The high frequency components are not resolved accurately enough resulting from too long time steps and a very small time step will be a waste of computing time. Thus, when the rise time of the laser pulse is in the order of nanosecond, a compromise should be taken into account [17] t = 1 180f max (14) where f max is the highest frequency of laser ultrasound. Therefore, the time step can be determined by estimating the highest frequency of the laser-generated ultrasonic waves.…”

Section: Finite Element Methodsmentioning

confidence: 99%

Characteristics of laser ultrasound interaction with multi-layered dissimilar metals adhesive interface by numerical simulation

Zhang

Zhou

Jing-lun

et al. 2015

Applied Surface Science

View full text Add to dashboard Cite

“…Diamond anvils (iv) and a gasket (v) enclose (and compress) the sample through a pressure medium (ix). The LH-DAC configuration is a valuable tool for many areas of high-pressure geology, planetary science, and materials science [17,31,[96][97][98][99][100][101][102][103][104][105][106][107][108][109][110][111], such as mapping P-T phase diagrams [17,101,102,[105][106][107][108][109][110][111] or modifying materials at high pressures and high temperatures (HPHT) [37,68,[112][113][114]. For instance, LH-DAC configurations can recreate conditions within most planetary interiors where pressures and temperatures may exceed 1 GPa and 3000 K [115].…”

Section: Overview Of Laser Processing In Diamond Anvil Cells (L-dacs)mentioning

confidence: 99%

A Comprehensive Review of High-Pressure Laser-Induced Materials Processing, Part I: Laser-Heated Diamond Anvil Cells

Alabdulkarim

Maxwell

Thapliyal

et al. 2022

JMMP

View full text Add to dashboard Cite

Laser-heated diamond anvil cell (LH-DAC) experimentation has emerged as a leading technique for materials processing at extreme pressures and temperatures. LH-DAC systems are often employed to better characterise the structure and properties of materials in applications ranging from condensed matter physics to geophysical research to planetary science. This article reviews LH-DAC and related laser-based characterisation, as the first part of a series within the broader context of all high-pressure laser-induced material processing. In part I of this review, a synopsis of laser-heated diamond anvil cell experimental methods, developmental history, fundamental physicochemical processes, and emerging research trends are provided. Important examples of minerals/materials modified during LH-DAC investigations (since their inception) are also tabulated, including key phase transformations, material syntheses, laser parameters, and process conditions—as a reference for the reader and as a guide for directing future research efforts. Note that laser-dynamic-compression within diamond anvil cells (LDC-DAC experimentation) and laser-induced reactive chemical synthesis within diamond anvil cells (LRS-DAC experimentation) are treated separately, as Parts II and III of this review.

show abstract

Simulation of laser-generated longitudinal and shear ultrasonic waves in a diamond anvil cell by the finite element method

Cited by 10 publications

References 19 publications

Research on laser ultrasonic surface defect identification based on a support vector machine

Research on laser ultrasonic surface defect identification based on a support vector machine

Characteristics of laser ultrasound interaction with multi-layered dissimilar metals adhesive interface by numerical simulation

A Comprehensive Review of High-Pressure Laser-Induced Materials Processing, Part I: Laser-Heated Diamond Anvil Cells

Contact Info

Product

Resources

About