Nonlinear Electro-Mechanical Impedance Spectroscopy for fatigue crack monitoring

Lu, Runye; Shen, Yanfeng; Zhang, Bo; Xu, Wenjian

doi:10.1016/j.ymssp.2022.109749

Cited by 11 publications

(4 citation statements)

References 45 publications

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“…As the loading cycles increase from 0 to 30 000, at beginning of the loading, the RANP decreases due to cyclic hardening in the early fatigue stage. This phenomenon supports the results of the [24]. However, as the loading cycles continue to increase, the RANP changes very little and remains almost unchanged.…”

Section: Evaluation Of Fatigue Damagesupporting

confidence: 89%

“…Nonlinear phenomena can be observed when a finite amplitude ultrasonic wave propagates in a nonlinear medium, which has the characteristics, such as crystal defects like dislocations in solid media, nonlinearity caused by the microstructure like microcracks [21][22][23][24], leading to generation of waves with multiple frequencies differing from the frequency of the input wave signal. Nonlinear ultrasonic NDT technologies focus on the analyses of the generated waves to evaluate the material damage/degradation in the early stage.…”

Section: Introductionmentioning

confidence: 99%

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Research on nonlinear ultrasonic method for evaluating the mechanical properties of 3D printing aluminum alloy

Wang,

Jiang,

Kou

et al. 2024

Meas. Sci. Technol.

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Micro defects, such as pore and inclusions, inevitably appear in the forming process of 3D printed materials, which would affect the mechanical properties of materials. Therefore, a nondestructive testing method is urgently needed to evaluate the effect of these micro defects on the mechanical properties of materials. In the present work, by using a nonlinear ultrasonic testing technology, mechanical test and characterization of material microstructure, the relationship between the relative acoustic nonlinearity parameter, tensile strength and material defect ratio of 3D printed aluminum alloy specimens under different scanning powers is investigated. The analysis results show that the greater the material defect ratio is, the smaller the tensile strength is and the greater the relative acoustic nonlinearity parameter is, and the relative acoustic nonlinearity parameter could be used to evaluate the strength of materials. Moreover, fatigue damage induced by high cycle fatigue loading test in the first stage of early performance degradation, the results of nonlinear ultrasonic testing show that the relative acoustic nonlinearity parameter presents an increasing trend as the fatigue load increases. By observing changes in material microstructure, it is found that the increasing acoustic nonlinearity parameter is due to the directional coarsening degree of the precipitated phase increasing, which shows that relative acoustic nonlinearity parameter is very sensitive to the change of material microstructure. The above results show that, the nonlinear ultrasonic testing technology can quantitatively evaluate and predict the mechanical performance and early performance degradation of 3D printing aluminum alloy.

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Section: Evaluation Of Fatigue Damagesupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Research on nonlinear ultrasonic method for evaluating the mechanical properties of 3D printing aluminum alloy

Wang,

Jiang,

Kou

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Apart from the ultrasonic method, another innovative approach for residual stress evaluation is the use of Electro-Mechanical Impedance Spectroscopy (EMIS). This technique involves applying an alternating signal to piezoelectric sensors attached to the material surface, subsequently measuring the resulting mechanical impedance, which can be utilized for various application conditions, such as fatigue crack monitoring [21], entire torque range monitoring of bolted joints [22] and comprehensive monitoring of carbon fiber reinforced composite laminates [23]. According to Park et al [24], EMI spectroscopy is highly sensitive to even minor changes in material properties, including stress and strain states.…”

Section: Introductionmentioning

confidence: 99%

Residual stress evaluation of multilayer viscoelastic composites using guided wave and electromechanical impedance signal feature variations

Jiang,

Shen,

Zhang

2024

Health Monitoring of Structural and Biological Systems XVIII

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Residual stresses, mainly generated by mechanical processing and strengthening approaches, are known to impose significant influence on the performance of industrial structures. They usually exist as an undesirable source of fractures and failures. Furthermore, the nondestructive evaluation and calibration of residual stresses in the depth direction always stays a significant issue, especially for multilayer viscoelastic composites. Thus, this paper proposes the advancement of residual stress evaluation technology by detecting the variation of guided wave signal and impedance features under different stress conditions. The target structure for nondestructive evaluation task is a typical multilayer, viscoelastic composite shell of a solid rocket motor. By carrying out an in-depth theoretical analysis with Finite Element Modeling (FEM), the sensing sensitivity of the probing ultrasonic wave characteristics are studied systematically. To monitor the residual stress state, a theoretical model is established by considering the stress gradient in each layer, indicating the current stress condition inside the testing object. Consequently, via the comprehensive consideration of transducer dimensions, center frequency, the most effective residual stress monitoring setup is established and the sensing signals are recorded by piezoelectric wafer active sensors (PWAS) placing on the object. Finally, different values of prestress are applied to the object, while the nonlinear constitutive law of the layered materials is implemented. The pattern between the sensing signal and the residual stress state is identified. Simulation results show that significant nonlinear features such as higher harmonic generation are fully captured, which are related to the prestress conditions. The amplitude of sensing signals could provide indicative information for evaluating the residual stress state based on the acoustoelastic effects. The amplitude and the peak shift of the impedance spectra are investigated to quantify the residual stress state. The findings of this research possess superb application potential for the evaluation of residual stresses in multilayer composites for enhancing manufacturing quality and avoiding unexpected failures in solid rocket motor industry. This paper finishes with summary, concluding remarks, and suggestions for future work.

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“…With the rapid development of piezoelectric intelligent materials technology has provides broad application for rapid detection of aging damage of solid propellant. A new detection method based on piezoelectric (PZT) technology is electromechanical impedance (EMI), which is gradually being applied in the field of solid propellant aging detection [17][18][19][20][21][22][23]. The principle of EMI is to use the piezoelectric effect to cause a structure vibration and drive it to generate local vibration, which changes the electrical performance of PZT.…”

Section: Introductionmentioning

confidence: 99%

Quantitative detection of aging damage of solid propellant based on frequency impedance spectroscopy combined with CARS‐SVM algorithm

Duan,

Wang,

Zhang

et al. 2024

Propellants Explo Pyrotec

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Solid propellant, as the energy source for solid rocket engines, it is of great significance to achieve accurate quantitative detection of aging damage of solid propellant. In this paper, a novel approach based on frequency impedance spectroscopy impedance combined with CARS‐SVM algorithm was proposed. First, the temperature, humidity, and pressure of environmental information around the solid rocket motor were sampled, and then the impedance at corresponding frequencies of the propellant was obtained by AD5933 chip. Second, the processed experimental data were subjected to abnormal sample detection before further variables selection using uninformative variables elimination (UVE) competitive adaptive reweighted sampling (CARS), respectively. Finally, support vector machine (SVM), UVE‐SVM and CARS‐SVM quantitative calibration methods were established. The results showed that the determination coefficient (R2), root mean square error (RMSE), and mean absolute percentage error (MAPE) of CARS‐SVM model were 0.9919, 0.7540, and 0.0480, respectively. Therefore, the results prove that impedance of solid propellant combined with CARS‐SVM model can effectively achieve high precision quantitative detection of aging damage of solid propellant, which lays a new method for the application of solid propellants aging damage in the online quantitative detection.

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Nonlinear Electro-Mechanical Impedance Spectroscopy for fatigue crack monitoring

Cited by 11 publications

References 45 publications

Research on nonlinear ultrasonic method for evaluating the mechanical properties of 3D printing aluminum alloy

Research on nonlinear ultrasonic method for evaluating the mechanical properties of 3D printing aluminum alloy

Residual stress evaluation of multilayer viscoelastic composites using guided wave and electromechanical impedance signal feature variations

Quantitative detection of aging damage of solid propellant based on frequency impedance spectroscopy combined with CARS‐SVM algorithm

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