Measurement of Absolute Acoustic Nonlinearity Parameter Using Laser-Ultrasonic Detection

Park, Seong‐Hyun; Kim, Jongbeom; Song, Dong-Gi; Choi, Sungho; Jhang, Kyung-Young

doi:10.3390/app11094175

Cited by 9 publications

(4 citation statements)

References 36 publications

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“…The other AM process parameters, including the laser power, hatch space, and layer thickness, were fixed at 200 W, 0.1 mm, and 0.03 mm, respectively. Notably, ultrasonic measurement is inconsistent under the rough surface conditions of the test samples because the signal-to-noise ratio is lower in the case of a rough surface [ 46 ]. To avoid this problem, the tested samples were treated via wire electrical discharge machining, wherein the arithmetic mean roughness (Ra) of the surfaces was smoothed to approximately 0.33 μm (initial Ra: approximately 5.0 μm).…”

Section: Methodsmentioning

confidence: 99%

Microstructural Characterization of Additively Manufactured Metal Components Using Linear and Nonlinear Ultrasonic Techniques

et al. 2022

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Metal additive manufacturing (AM) is an innovative manufacturing technology that uses a high-power laser for the layer-by-layer production of metal components. Despite many achievements in the field of AM, few studies have focused on the nondestructive characterization of microstructures, such as grain size and porosity. In this study, various microstructures of additively manufactured metal components were characterized non-destructively using linear/nonlinear ultrasonic techniques. The contributions of this study are as follows: (1) presenting correlation analyses of various microstructures (grain size and texture, lack of fusion, and porosity) and ultrasonic properties (ultrasonic velocity, attenuation, and nonlinearity parameters), (2) development of nondestructive microstructural characterization techniques for additively manufactured components; and (3) exploring the potential for the online monitoring of AM processes owing to the nondestructive nature of the proposed technique. The performance of the proposed technique was validated using additively manufactured samples under varying laser beam speed conditions. The characteristics of the target microstructures characterized using the proposed technique were consistent with the results obtained using destructive optical microscopy and electron back-scattered diffraction methods.

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Section: Methodsmentioning

confidence: 99%

Microstructural Characterization of Additively Manufactured Metal Components Using Linear and Nonlinear Ultrasonic Techniques

et al. 2022

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“…In addition, since the tone-burst signal has a constant amplitude, the exact absolute amplitude of the signal can be measured. Note that the output signal generally includes a transient response at the beginning and ringing at the end, so it is necessary to extract the central steady state region of the signal [12].…”

Section: Basic Conceptmentioning

confidence: 99%

Calibration method using a narrowband signal for measurement of the acoustic nonlinearity parameter

Song

Park

Yoo

et al. 2023

Preprint

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The measurement of absolute acoustic nonlinearity parameters using piezoelectric transducers consists of two steps; calibration and harmonic detection. In calibration, a frequency domain transfer function that converts the current output signal amplitude into the acoustic displacement amplitude is measured. Then, in harmonic detection, the amplitudes of the harmonics generated in the ultrasonic waves propagating through a medium are detected and converted to displacement amplitudes using the transfer function obtained in the calibration step for calculation of the acoustic nonlinearity parameters. However, in the conventional method, a broadband pulse signal is used for the calibration and a narrowband tone-burst signal is used for the harmonic detection; therefore, this method inconveniently uses different driving devices for calibration and harmonic detection. In this study, we propose a more convenient technique that can perform calibration using a narrowband signal so that a single driver of a narrowband signal can be used for both calibration and harmonic detection. To verify the validity of the proposed method, transfer functions were measured at typical frequencies for two types of material (aluminum alloy and fused silica) against two types of transducers (commercial PZT and LiNbO3 crystal), and the results were compared with those obtained using conventional calibration method. The transfer functions obtained by the conventional method and the proposed method showed good concordance, independent of material and transducer type.

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“…For internal defect detection, some studies extract and combine spatial and temporal features to estimate the physical properties such as Young's modulus [45]. Previous studies also suggest that faults can be detected by estimation of absolute acoustic nonlinearity parameter, beta, defined by the displacement amplitudes of the fundamental and secondorder harmonic frequency components of the ultrasonic wave propagating through the material [46]. This study analyzed the effects of cracks in a steel pipe and their location on the properties of acoustic waves that travel through it.…”

Section: Crackmentioning

confidence: 99%

Mathematical Modeling and Computer-Aided Simulation of the Acoustic Response for Cracked Steel Specimens

et al. 2021

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Photoacoustic imaging (PAI) is an emerging nondestructive testing technique to evaluate ever-growing steel products and structures for safety and reliability. In this study, we have analyzed steel material with inbuilt cracks using computer-aided numerical simulations, imitating the PAI methodology. Cracks are introduced in a steel cylinder along three axes at different locations, and then a finite element method simulation in Abaqus software is performed to generate an acoustic wave and read it back at sensing locations after passing through the crack. The data are observed, analyzed, and modeled using the composite sine wave data fitting modeling technique. Afterwards, the Nelder–Mead simplex method is used to optimize the parameters of the model. It is concluded that with the change in the crack location, there is a change in the model parameters such as amplitude and frequencies. Results for cracks at seven different locations along each of the three axes are added, and listed in tabular form to present an analysis and comparison of the changes in the modeled parameters with respect to these crack locations.

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Measurement of Absolute Acoustic Nonlinearity Parameter Using Laser-Ultrasonic Detection

Cited by 9 publications

References 36 publications

Microstructural Characterization of Additively Manufactured Metal Components Using Linear and Nonlinear Ultrasonic Techniques

Microstructural Characterization of Additively Manufactured Metal Components Using Linear and Nonlinear Ultrasonic Techniques

Calibration method using a narrowband signal for measurement of the acoustic nonlinearity parameter

Mathematical Modeling and Computer-Aided Simulation of the Acoustic Response for Cracked Steel Specimens

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