Characterization of particle impact by quantitative acoustic emission
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Cited by (67)
ANN prediction of particle flow characteristics in a drum based on synthetic acoustic signals from DEM simulations
2021, Chemical Engineering ScienceCitation Excerpt :The particle size, however, shows little effect on power draw. The model involves several assumptions: an impact is regarded as an instant event; the impact energy only affects vibration amplitude but not frequency and phase (Buttle and Scruby, 1990; Hu et al., 2014) small impact angles have little effects on AE signals (Buttle and Scruby, 1990); and friction has no effect on AE signals. Fig. 5a shows the measured sound signal.
Real-time acoustic emission monitoring of powder mass flow rate for directed energy deposition
2018, Additive ManufacturingMonitoring acoustic emission (AE) energy of abrasive particle impacts in a slurry flow loop using a statistical distribution model
2016, Applied AcousticsCitation Excerpt :Therefore, whereas it is a relatively simple matter to establish a correlation between AE and cumulative impact energy in the laboratory, there is a significant calibration problem when it comes to practical application. One of the seminal studies of hard particle impact on surfaces using acoustic emission was by Buttle and Scruby [6] in which individual glass and bronze particles were dropped freely in a vacuum onto a specimen on whose opposite face an AE sensor was mounted. They concluded that, AE can be used to distinguish particle size provided that the time between individual impacts is at least 1 ms. Using a different approach, Boschetto and Quadrini [10] have dropped a predefined weight of powder samples onto a metal plate whilst recording the AE.
Experimental validation of theoretical methods to estimate the energy radiated by elastic waves during an impact
2016, Journal of Sound and VibrationMonitoring acoustic emission (AE) energy in slurry impingement using a new model for particle impact
2015, Mechanical Systems and Signal Processing