Corrosion monitoring in steel bars using Laser ultrasonic guided waves and advanced signal processing

Majhi, Subhra; Mukherjee, Abhijit; George, Nithin V.; Karaganov, V.; Uy, Brian

doi:10.1016/j.ymssp.2020.107176

Cited by 46 publications

(14 citation statements)

References 41 publications

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“…Moreover, the MATLAB infinite impulse response based on band-pass filtering is used to further improve the SNR. 20 The time-domain plots of the typical LU signals for various cracks and cavities are shown in Figure 3. It can be intuitively seen that the Rayleigh wave and part of the ultrasonic wave undergo mode-conversion and propagate downward to the bottom of the defect, where they are reflected by the bottom.…”

Section: Resultsmentioning

confidence: 99%

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Defect measurement using the laser ultrasonic technique based on power spectral density analysis and wavelet packet energy

Qiu

et al. 2021

Micro & Optical Tech Letters

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The laser ultrasonic technique (LUT) enables the analysis of complex signals and the extraction of the features of defects. The time-domain features can be used to quantify various defects, but are negatively affected by the coupling efficiency, measurement noise, and surface roughness during LUT. This paper describes defect analysis methods based on the power spectral density and wavelet packet energy. Defects are characterized using the power of low-frequency components after wavelet decomposition and the wavelet packet energy, and then linear relationships are established for two defect types. The R 2 values of the linear fitting for the characteristic variables of the defect are greater than 0.96. The experimental results show that the proposed methods provide effective and quantitative characterization of the defect size from laser ultrasonic signals.

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Section: Resultsmentioning

confidence: 99%

“…Therefore, the wavelet function dmey is employed to perform five‐layer WD for a low‐pass filter. Moreover, the MATLAB infinite impulse response based on band‐pass filtering is used to further improve the SNR 20 . The time‐domain plots of the typical LU signals for various cracks and cavities are shown in Figure 3.…”

Section: Resultsmentioning

confidence: 99%

Defect measurement using the laser ultrasonic technique based on power spectral density analysis and wavelet packet energy

Qiu

et al. 2021

Micro & Optical Tech Letters

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“…Ultrasonic non-destructive evaluation is widely used to quantify the mechanical and structural properties of the body. It has established itself well in many industries and continues to expand its application [8][9][10]. Existing studies indicate the feasibility of using to determine the degree of heterogeneity of the mechanical properties of the body coefficients of nonlinearity of the second and third orders [9,[11][12] ࢼ = , ()…”

Section: Evaluation Of Mechanical Properties Of the Body Using Ultrasound Nonlinearitymentioning

confidence: 99%

Spatial ultrasonic cleaning process control based on its current state evaluation

Morkun

Kravchenko

2021

E3S Web Conf.

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Ultrasonic cleaning is one of the most promising types of cleaning in terms of environmental friendliness, cost and efficiency. The condition of the cleaning body must be taken into account for optimal control of the ultrasonic cleaning process. This allows you to irradiate only those areas that really need it. The modelling of the process of ultrasonic cleaning of bodies of different configurations and the analysis of the parameters of ultrasonic responses at different stages of cleaning were performed. This allowed us to identify the parameters by which the assessment of the process should be formed. The main parameter was the change in the time of receipt of the threshold value of the signal, and the auxiliary - the change of the nonlinearity coefficient of the second order. The change in the time of receipt of the threshold value of the signal is an indicator of dirt peeling, and the change in the nonlinearity coefficient demonstrates the approach to the final result of cleaning. These parameters became clear input data for the 3-D fuzzy interval controller. The functions of affiliation were defined and the base of rules was formed. Modelling of the ultrasonic cleaning process using the established method of estimating the course of the process and the use of 3-D fuzzy interval controller showed about 35%energy savings.

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“…Ultrasonic nondestructive measurement is widely applied to quantifying a large number of mechanical and structural properties of solids [11,12] as well as for assessing the state of the object subjected to ultrasonic cleaning. Mechanical prop erties of bodies have been evaluated by means of ultrasonic measurements for a long time in various industries, this trend continuing nowadays [13,14] indicating its high efficiency and accuracy.…”

mentioning

confidence: 99%

“…Many studies [12,15,16] suggest using the 2 nd or 3 rd order acoustic nonlinearity coefficients to evaluate nonlinearity of the material structure…”

mentioning

confidence: 99%

Evaluation of ultrasonic cleaning process

Morkun¹,

Kravchenko²,

Кравченко³

et al. 2021

Nauk. visn. nat. hirn. univ.

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Purpose. To establish relationship between intensity of ultrasonic cleaning and an ultrasonic response fixed at a set point. To determine the influence of liquid contamination on this signal. To specify parameters of an ultrasonic signal to evaluate the course of cleaning a preset section of a body. To define limiting values indicating efficiency of ceasing the cleaning process. Methodology. The research is based on simulation of ultrasonic wave propagation in the heterogeneous environment and subsequent analysis of the signals by using software. Findings. Dependences are established to form evaluation of the course of the cleaning process by parameters of the ultrasonic response. It is found that both the bodys state and that of the liquid affect the ultrasonic response obtained by the sensor at the set point during ultrasonic cleaning. With high contamination (>30%) the state of the liquid becomes a critical factor for forming the signal of the ultrasonic response. With that, there is an abrupt reduction of threshold signal arrival time and increase in the main amplitude, which is to be one of indicators of ceasing the cleaning process in case of its inefficiency. With lower contamination, suspended contaminant particles only correct the signal to some extent without distorting it. There is a relationship between reduction of contamination, the arrival time of threshold signal, on the one hand, and the value of the main amplitude and the 2nd and 3rd-order nonlinearity coefficients, on the other hand. The arrival of the threshold value of the signal is the major parameter determining intensity of cleaning, i.e. reduction of contaminant thickness, which is determined by the value of the main amplitude of the signal and the 2nd and 3rd-order nonlinearity coefficients. Originality. For the first time, methods for evaluating the course of the ultrasonic cleaning process by analyzing ultrasonic responses at a specified point have been developed. Practical value. To consider spatial distribution of the ultrasonic cleaning process, its control is to be based on evaluating the bodys contamination in several preset points. To implement this, the character of dependences between changes in contamination of the body section and parameters of the fixed ultrasonic response is determined. Impacts are considered of suspended contaminant particles in the liquid on the signal analyzed. The observed relationship will provide the basis for building the spatially distributed control over ultrasonic cleaning considering the cleaned bodys state.

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Corrosion monitoring in steel bars using Laser ultrasonic guided waves and advanced signal processing

Cited by 46 publications

References 41 publications

Defect measurement using the laser ultrasonic technique based on power spectral density analysis and wavelet packet energy

Defect measurement using the laser ultrasonic technique based on power spectral density analysis and wavelet packet energy

Spatial ultrasonic cleaning process control based on its current state evaluation

Evaluation of ultrasonic cleaning process

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