On the potential applications of acoustic emission in friction stir welding

Ambrosio, Danilo; Dessein, Gilles; Wagner, Vincent; Yahiaoui, Malik; Paris, Jean-Yves; Fazzini, Marina; Cahuc, Olivier

doi:10.1016/j.jmapro.2022.01.012

Cited by 21 publications

(8 citation statements)

References 27 publications

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“…The fulfillment of the monotonicity conditions required that the values of these characteristics exceed the level of 0.4. In addition to these characteristics, features of spectral kurtosis in the frequency domain can be calculated, such as peak and centroid frequency, which are commonly used to characterize various damage modes [ 49 , 50 ]. However, these characteristics do not satisfy the monotonicity criteria.…”

Section: Resultsmentioning

confidence: 99%

Experimental and Theoretical Study of Plastic Deformation of Epoxy Coatings on Metal Substrates Using the Acoustic Emission Method

et al. 2022

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Propagation of acoustic emission signals in continuous conjugated media under real-time loading was explored. The results of explored plastic deformation polymer coatings on a metal base using the acoustic emission method with synchronization of deformations and the moments of occurrence of acoustic emission signals are presented. Using the principal component method, the acoustic emission spectra, which make it possible to trace the evolution of deformation transformation processes, were analyzed. Presented the results of theoretical and experimental studies on the separate propagation of acoustic emission vibrations in a polymer coating, a metal base, and their joint combination in the form of multilayer structures. Boundary problems of propagation of acoustic emission signals in the conjugation of continuous media are considered from the standpoint of an elastic continuum and wave representations. The main variables are the force that initiates the appearance of acoustic emission signals and the displacement that determines the propagation of elastic waves. Based on the local rearrangement of the internal structure of conjugated media under conditions of development of deformation processes in the material, the verification of the main theoretical models of energy spectrum acoustic signals in continuous media at the micro-, meso-, and macro-levels was carried out. In this work, we present experimental data on a set of basic acoustic emission characteristics for four-point bending. It is shown that the principal components method reduces the dimension of data while maintaining the least amount of new information. Using the method of principal components to determine the stages of plastic deformation of polymer coatings on a metal base using the acoustic emission method. With the digitalization of acoustic emission signals and noise filtering, new possibilities for isolating a weak signal at the noise level appear even when its amplitude is significantly lower than the noise level. The study results can be used to predict the degree of destruction of two-layer materials under loading.

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Section: Resultsmentioning

confidence: 99%

Experimental and Theoretical Study of Plastic Deformation of Epoxy Coatings on Metal Substrates Using the Acoustic Emission Method

et al. 2022

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“…To perform the AE multi-parameter analysis, eight time domain parameters including amplitude, count, energy, information entropy, rise angle (RA), root mean square (RMS), kurtosis and crest factor were first extracted from each AE signal recorded during the fatigue process for characterizing the FCG behavior. Furthermore, the Fast Fourier Transform (FFT) was performed to provide frequency information about AE signals because the frequency is generally regarded as an effective measure in discriminating different failure types [ 24 , 25 ]. Thus, in this study, the centroid frequency was calculated from the frequency spectrum to investigate the change in the frequency of AE signals during FCG.…”

Section: Methodsmentioning

confidence: 99%

Characterization of Fatigue Crack Growth Based on Acoustic Emission Multi-Parameter Analysis

et al. 2022

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In engineering structures that are subject to cyclic loading, monitoring and assessing fatigue crack growth (FCG) plays a crucial role in ensuring reliability. In this study, the acoustic emission (AE) technique was used to monitor the FCG behavior of 2.25Cr1Mo0.25V steel in real-time. Specifically, an AE multi-parameter analysis was conducted to qualitatively assess the crack growth condition and quantitatively correlate the crack growth rate with AE. Various AE parameters were extracted from AE signals, and the performances of different AE parameters were analyzed and discussed. The results demonstrated that four stages of FCG, which correspond to macrocrack initiation, stable crack growth with low crack growth rate, stable crack growth with high crack growth rate, and unstable crack growth, are distinctly identified by several AE time domain parameters. The sudden and continuous occurrence of many AE signals with high count (>100) and high energy (>40 mV·ms) can provide early and effective warning signs for accelerated crack growth before final failure occurs. Moreover, linear correlations between crack growth rate and different AE parameters are established for quantifying crack growth. Based on the AE multi-parameter analysis, it was found that the count, energy, and kurtosis are superior AE parameters for both qualitatively and quantitatively characterizing the FCG in 2.25Cr1Mo0.25V steel. Results from this research provide an AE strategy based on multi-parameter analysis for effective monitoring and assessment of FCG in engineering materials.

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“…Despite the important interest of researchers on the use of AE in similar process such as friction stir welding (FSW) [ 4 , 5 ], the technology readiness level still below industrial expectations. Indeed, the switch from healthy state to defective one is often based on the changing of welding parameters [ 6 , 7 ], which is not representative of industrial applications (fixed welding procedure). Hence, sharing and capitalizing a database of healthy and defective spot welds using a slight welding parameters drift will help the research community to faster the technology-readiness of process monitoring in Refill FSSW.…”

Section: Data Descriptionmentioning

confidence: 99%

Dataset from healthy and defective spot welds in refill friction stir spot welding using acoustic emission

et al. 2022

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On the potential applications of acoustic emission in friction stir welding

Cited by 21 publications

References 27 publications

Experimental and Theoretical Study of Plastic Deformation of Epoxy Coatings on Metal Substrates Using the Acoustic Emission Method

Experimental and Theoretical Study of Plastic Deformation of Epoxy Coatings on Metal Substrates Using the Acoustic Emission Method

Characterization of Fatigue Crack Growth Based on Acoustic Emission Multi-Parameter Analysis

Dataset from healthy and defective spot welds in refill friction stir spot welding using acoustic emission

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