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Acoustic emission
About: Acoustic emission is a research topic. Over the lifetime, 16293 publications have been published within this topic receiving 211456 citations.
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TL;DR: In this paper, the root mean square (RMS) voltage of the acoustic emission and fundamental cutting parameters was evaluated by a series of tests varying cutting speed, feed and rake angle for orthogonal machining.
95 citations
TL;DR: The role of microplasticity effects was additionally explored using a Continuum Dislocation Dynamics Viscoplastic Self-Consistent (CDD-VPSC) model for the first two cycles of the fatigue life.
94 citations
TL;DR: In this paper, a new approach to nondestructive testing is proposed which is centred around the concept of utilizing the transducer action of a flaw in a stress field.
94 citations
TL;DR: The experimentation includes the AE sensor, preamplifier, frequency (noise) filter, main amplifier, AE rate counter, and A/D (analog-to-digital) recorder, to provide fundamental knowledge on material and specimen behavior in laboratory experiments.
Abstract: Acoustic emission (AE) is defined as high-frequency elastic waves emitted from defects such as small cracks (microcracks) within a material when stressed, typically in the laboratory. AE is a similar phenomenon to microseismicity (MS), as MS is induced by fracture of rock at an engineering scale (e.g., rockbursts in mines), that is, in the field. Thus, seismic monitoring can be applied to a wide variety of rock engineering problems, and AE is a powerful method to investigate processes of rock fracture by detecting microcracks prior to macroscopic failure and by tracking crack propagation.
A basic approach involves using a single channel of data acquisition, such as with a digital oscilloscope, and analyzing the number and rate of AE events. Perhaps the most valuable information from AE is the source location, which requires recording the waveform at several sensors and determining arrival times at each. Thus, investing in a multichannel data acquisition system provides the means to monitor dynamics of the fracturing process.
The purpose of this suggested method is to describe the experimental setup and devices used to monitor AE in laboratory testing of rock. The instrumentation includes the AE sensor, preamplifier, frequency (noise) filter, main amplifier, AE rate counter, and A/D (analog-to-digital) recorder, to provide fundamental knowledge on material and specimen behavior in laboratory experiments. When considering in situ seismic monitoring, the reader is referred to the relevant ISRM suggested method specifically addressing that topic (Xiao et al. 2016).
94 citations
TL;DR: Wang et al. as mentioned in this paper presented a study on acoustic emission detection of rail defect at high speed based on rail-wheel test rig Meanwhile, Wavelet Transform and Shannon entropy are employed to detect defects Signals with and without defects are acquired, and characteristic frequencies from them at different speeds are analyzed based on appropriate decomposition level and Energy-to-Shannon entropy ratio, the optimal wavelet is selected in order to suppress noise effects and ensure appropriate time resolution, the length of time window is investigated Further, the characteristic frequency of timewindow is employed to detecting defect.
94 citations