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The relationship between the Lamb-wave mode of acoustic emission and the plate's force direction was investigated using modal acoustic emission model. The impact damage was investigated by the Lamb-wave method of the acoustic emission signals created by the plate's damage, and a criterion for assessing the impact damage was suggested.
Source link: https://doi.org/10.21595/jve.2017.17879
It is vital to identify common damage types and their evolution during the fatigue process in order to avoid sudden degradation of composite structures. The determination of fracture mechanisms during fatigue loading was carried out in this paper based on acoustic emission analysis. The obtained results enable for clustering of acoustic emission data by type of occurrence, and it can be related to accompanying self-heating observed during loading.
Source link: https://doi.org/10.21595/jve.2017.18719
A sparse representation based classification scheme has been used in a variety of classification schemes recently, being inspired by the idea of compressed sensing. Moreover, when working with multiple measurements, the joint sparse representation based classification scheme could improve the classification reliability by using structural similarity data from each measurement. This paper explores the use of multiple AE sensors for the classification of rub-impact in rotating machinery based on the JSRC method. The input matrix for the JSRC based classifier is concatenated at Then, which are extracted cepstral information of all AE sensors are included. When compared to the SRC method with multiple AE sensors, the proposed BSOMP algorithm for solving the JSRC method is more accurate and it performs better than the traditional SOMP algorithm for solving the JSRC algorithm.
Source link: https://doi.org/10.21595/jve.2017.18292
The article describes an innovative way of corrosion tests using the acoustic emission system and the corrosion tester. Due to the use of a unique corrosion tester, an acoustic method is shown, which can be used to track corrosion processes in steel. Both the acoustic and metallographic tests have shown the possibility of detecting material damage during the operation of the corrosion tester, allowing determination of the course and type of corrosion damage.
Source link: https://doi.org/10.2478/pomr-2022-0037
The AEA of arthritic changes in the knee joint was improved by the addition of kinetic measurement results during a scientific study. This new AEA-based technique aids in the non-invasive diagnosis and evaluation of arthritic joint disease at an early stage. A force plate provides evidence of the ground force during a series of three knee bends, as well as a video-based gait analysis of hip-, knee-, and ankle joints. The kinetic results were used to determine the instants of time to compare the data of the three measurement methods. Instants of time are used to coordinate force and video based information by using the stance phase of the knee bends. In the second step, the synchronization of video based data was achieved by means of the absolute angle of the AEA device [4, 5].
Source link: https://doi.org/10.1515/cdbme-2021-2202
Tests were conducted on granite disc specimens treated with high temperatureu2013water cooling from 250 to 650 degrees u00b0C in order to determine the effect of a high temperature-water cooling cycle on the acoustic emission characteristics of the granite splitting process. The maximum energy value at the peak stress point is higher because the temperature rises and the number of cycles rises gradually as the temperature rises and the number of cycles increases. When the temperature is low and the number of hot and cold cycles is small, the maximum energy value at the peak stress point is small, and the maximum energy value starts to decrease gradually as the temperature rises and the number of cycles increases.
Source link: https://doi.org/10.3390/su142013601
Sandstone's strength and AE energy decrease as a result of an increase in heating temperature, according to the study. The AE waveform's time of failure was also found to have a decreasing trend with an increase in temperature, according to frequency domain analysis of the AE waveform at the time of failure. It provides new parameters for waveform analysis, which can be combined with frequency analysis as parameters to help identify rock failure in engineering. The attenuation of AE of thermally broken sandstone could be due to an increase in porosity and a decrease in elastic energy release.
Source link: https://doi.org/10.3390/su142013285
Two main areas, improving recording equipment and improving data processing techniques, are currently being applied to develop geophysical methods for local rock burst prediction. In particular, researchers using the seismo-acoustic technique to forecast rock bursts after a man-made explosion determine the acoustic activity or energy capacity of elastic wave scattering after a man-made explosion and are confronted with the reliance of forecast results on destabilizing factors. We propose a micromechanical model of fracture accumulation in a rock mass block that represents the reliance of acoustic emission parameters on time, making it possible to determine the effect of many variables on forecast results and filter the signals. We also provide evidence and a framework for rock burst risk assessment.
Source link: https://doi.org/10.3390/resources11100087
During uniaxial compression, the experimental model of loading sample damage considering loading rate was established based on AE parameters. The experimental findings show that: With the rise in loading rate, the uniaxial compressive strength and elastic modulus of aeolian sand paste-like materials specimens' elasticity are greatly enhanced. The coupling relationship between ASPM strain considering loading rate and the AE cumulative ringing count is established, and the damage and stress coupling model of ASPM considering loading rate is increased, with the assumption that loading rate being a new variable.
Source link: https://doi.org/10.3390/ma15207235
As measurements of acoustic emission are propagated from source to sensor, attenuation, dispersion, and reflection, the waveforms, amplitudes, and frequency content of a wave packet will differ depending on the propagation length in the workpiece, as measured by attenuation, and reflection as it propagates from source to sensor. Since the distance between acoustic emission sources and a stationary sensor attached to the workpiece changes frequently in circumferential milling, extraction of meaningful information from raw measurement results is difficult and necessitates precise signal processing and frequency-dependent amplification.
Source link: https://doi.org/10.3390/jmmp6050118
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