List of publications in 2019, in which our employees participated:
Barat V., Bardakov V. Features of Noise Filtering During Acoustic Emission Testing. International Journal of Innovative Technology and Exploring Engineering. 2019. V. 9. № 1. С. 3977-3980. DOI: 10.35940/ijitee.A5067.119119 (full text). https://www.ijitee.org/portfolio-item/A5067119119/ (full text). eLibrary ID: 41819077
Abstract
This article discusses the problems of the acoustic emission method of non-destructive testing. An approach to filtering noise arising from monitoring of acoustic emission is considered. The filtering of acoustic noise is one of the key problems of the acoustic emission method, since the low noise immunity of the acoustic emission method prevents the expansion of its industrial application. The complexity of the filtering is explained by the fact that the waveform and spectrum of acoustic emission pulses change depending on the distance between the defect, which is the source of acoustic emission waves, and the sensor. In turn, the interference, as a rule, is non-stationary in nature and is determined by the type of technological process of the tested composition. This article discusses various types of noise processes, both stationary and non-stationary. The signal and noise parameters are compared, based on which recommendations are given for constructing algorithms for detecting acoustic emission pulses against a background of noise.
Barat V., Bardakov V., Marchenkov A. Empirical Modelling of Acoustic Emission Impulses. International Journal of Innovative Technology and Exploring Engineering. 2019. Т. 8. № 12. С. 3661-3664. DOI: 10.35940/ijitee.L3819.1081219 (full text). https://www.ijitee.org/portfolio-item/L38191081219/ (full text). eLibrary ID: 41714350
Abstract
Emission nondestructive testing method is very widespread diagnostic method based on phenomena of radiation of acoustic waves during the materials destruction. The main advantages of the method are sensitivity to the crack and possibility of remote testing when sensor installed far from the defect. The main drawback of the method is complexity of data processing. Acoustic emission signals are characterized by the variability of the shape and spectrum associated with the dispersive nature of the propagation of the signal along the waveguide. Uncertainty of the signal waveform and spectrum complicates the development of the data processing methods. The article proposes an empirical model of the acoustic emission impulse constructed using generalization of experimental data. The use of this model makes it possible to increase the efficiency of noise filtering by comparing the shape and spectrum of acoustic emission impulses and noise at various distances between the defect and the sensor.
Barat V., Marchenkov A., Elizarov S. Estimation of Fatigue Crack AE Emissivity Based on the Palmer-Heald Model. Applied Sciences (Switzerland). 2019. Т. 9. № 22. С. 4851. DOI: 10.3390/app9224851 (full text). https://www.mdpi.com/2076-3417/9/22/4851 (full text). eLibrary ID: 41822114
Abstract
This article is devoted to materials testing by the acoustic emission (AE) method, which is the analysis of models and diagnostic parameters to assess the probability of detection of a defect in steel structures. The paper proposes to evaluate the emissivity of the material quantitatively by the number and dynamics of the accumulation of acoustic emission impulses. Experimental studies were carried out on pearlitic structural steels, including the loading of samples with fatigue cracks. It was established that the number of AE impulses emitted during loading of an object with a fatigue crack is a random variable corresponding to the normal distribution law. The results show that an estimate of the number of AE impulses emitted during the loading of samples with fatigue cracks can be obtained by distributing the multiplicative parameter D of the Palmer-Heald model by taking into account the maximum value of the applied load.
Barat V.A., Marchenkov A.Y., Elizarov S.V., Bardakov V.V. Acoustic Emission Model of Fatigue Crack in Low-Carbon Steel. International Journal of Mechanical and Production Engineering Research and Development. 2019. Т. 9. № 6. С. 433-442. DOI: 10.24247/ijmperddec201937 (full text). http://www.tjprc.org/publishpapers/2-67-1572855846-37.IJMPERDDEC201937.pdf (full text). eLibrary ID: 41821571
Abstract
One of the problems of the acoustic emission (AE) testing method is the parametric uncertainty of defect models. In this work, an empirical model of a fatigue crack is considered, which allows establishing quantitative relations between the parameters of a fatigue crack and AE data. The ambiguity in the interpretation of AE data is explained by the inhomogeneous stress-strain state of the material.
Bardakov, V.V., Elizarov, S.V., Barat, V.A., Terentyev, D.A., Kharebov, V.G., Medvedev, K.A. (2021) Acoustic Emission Testing of Energy Field Objects. WCAE-5 Guangzhou, China, November 5-8, 2019. In: Shen, G., Zhang, J., Wu, Z. (eds) Advances in Acoustic Emission Technology. Springer Proceedings in Physics, vol 259. 2021, Springer, Singapore. DOI: 10.1007/978-981-15-9837-1
Abstract
This article presents the work carried out on the energy field objects of the thermal power plants (TPPs) by means of acoustic emission (AE) method. In total, 5 examples of AE method applications on TPP are presented in the article, such as pipelines testing during hydraulic pressure test, valve leak detection, inflow detection of vacuum equipment, testing of cooling tower support columns, testing of power transformer insulation.
Sergey Elizarov, Alexander Alyakritsky, Pavel Trofimov, Alexey Bugankov and Arkady Shimansky. The Overview of A-Line AE Systems. WCAE-5 Guangzhou, China, November 5-8, 2019 (unpublished)
Makhutov, N. A.; Vasil’iev, I. E.; Chernov, D. V.; Ivanov, V. I.; Elizarov, S. V. Influence of the Passband of Frequency Filters on the Parameters of Acoustic Emission Pulses. Russian Journal of Nondestructive Testing, 2019, 55, 3, pp. 173-180. DOI: 10.1134/S1061830919030082. eLibrary ID: 41631625
Abstract
To study the effect of the passband of a digital filter on the nature of the attenuation of the amplitude of an acoustic emission (AE) pulse and on the change in the group velocity of a wave packet in the near zone of up to 300 mm from the radiation source, studies were conducted on a multilayered polymer-composite-material (PCM) panel and an AMG-2 aluminum alloy plate with a thickness of 6 mm. In the course of the experiments, it has been established that narrowing the passband of the digital filter from 30–500 to 100–200 kHz can significantly affect the accuracy of the coordinate location of AE-event radiation sources situated near AE transducers, at a distance of less than 100 mm. As the passband of the digital filter narrows and the low- and high-frequency components of the spectrum are cut off, the wave front of the recorded pulse becomes more gently sloping, resulting in an increase in the difference of arrival times (DAT) of pulses to the AE transducers and in a decrease in the calculated group velocity of the wave packet. The error arising in this case is greater than the passband of the filter applied.