scholarly journals Optimizing the Number of Acoustic Emission Sensors Using the Bees Algorithm for Detecting Surface Fractures

Procedia CIRP ◽  
2018 ◽  
Vol 67 ◽  
pp. 362-367 ◽  
Author(s):  
Michael S. Packianather ◽  
Mark Eaton ◽  
Ioannis Papadopoulos ◽  
Theocharis Alexopoulos
Keyword(s):  
Acoustic Emission ◽  
Bees Algorithm ◽  
Acoustic Emission Sensors

Acoustic Emission Sensors using Silicon Mechanical Resonators

2015 ◽  
Vol 135 (12) ◽  
pp. 484-489
Author(s):  
Kengo Takata ◽  
Takashi Sasaki ◽  
Mitsutomo Nishizawa ◽  
Hiroshi Saito ◽  
Shinsuke Yamazaki ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Mechanical Resonators ◽  
Acoustic Emission Sensors

scholarly journals Application of Fiber Bragg Grating Acoustic Emission Sensors in Thin Polymer-Bonded Explosives

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3778 ◽  
Author(s):  
Tao Fu ◽  
Peng Wei ◽  
Xiaole Han ◽  
Qingbo Liu
Keyword(s):  
Acoustic Emission ◽  
Fiber Bragg Grating ◽  
Bragg Grating ◽  
Location Method ◽  
Thin Polymer ◽  
Time Coefficient ◽  
Polymer Bonded Explosives ◽  
Acoustic Emission Sensors

Fiber Bragg grating (FBG) acoustic emission (AE) sensors have been used in many applications. In this paper, based on an FBG AE sensor, the sensing principle of the interaction between the AE wave and the sensor is introduced. Then, the directionality of the FBG AE sensor on the surface of a thin polymer-bonded explosive (PBX) material is studied. Finally, the time coefficient location method is proposed to correct the AE time detected by the FBG AE sensor, thereby improving the accuracy of location experiments.

scholarly journals Crack detection in riveted lap joints using fiber laser acoustic emission sensors

2017 ◽  
Vol 25 (16) ◽  
pp. 19457 ◽  
Author(s):  
G. A. Cranch ◽  
L. Johnson ◽  
M. Algren ◽  
S. Heerschap ◽  
G. A. Miller ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Fiber Laser ◽  
Crack Detection ◽  
Lap Joints ◽  
Acoustic Emission Sensors ◽  
Riveted Lap Joints

Piezoelectric MEMS acoustic emission sensors

2018 ◽  
Vol 279 ◽  
pp. 53-64 ◽  
Author(s):  
Minoo Kabir ◽  
Hanie Kazari ◽  
Didem Ozevin
Keyword(s):  
Acoustic Emission ◽  
Acoustic Emission Sensors ◽  
Piezoelectric Mems

Fiber-optic acoustic emission sensors with dual Fabry-Perot interferometric cavities

2015 ◽  
Vol 23 (11) ◽  
pp. 3069-3076
Author(s):  
赵江海 ZHAO Jiang-hai ◽  
章小建 ZHANG Xiao-jian
Keyword(s):  
Acoustic Emission ◽  
Fiber Optic ◽  
Fabry Perot ◽  
Acoustic Emission Sensors

scholarly journals A comparison of two methods for absolute calibration of acoustic emission sensors

2018 ◽  
Author(s):  
I. Panteleev ◽  
N. Saveleva ◽  
A. Prokhorov ◽  
A. Vshivkov
Keyword(s):  
Acoustic Emission ◽  
Absolute Calibration ◽  
Acoustic Emission Sensors

Experimental Validation of Dispersion Curves in Plates for Acoustic Emission

2006 ◽  
Vol 13-14 ◽  
pp. 53-60
Author(s):  
Rhys Pullin ◽  
Pete T. Theobald ◽  
Karen M. Holford ◽  
S.L. Evans
Keyword(s):  
Acoustic Emission ◽  
Lamb Wave ◽  
Arrival Times ◽  
Wave Speeds ◽  
Lead Fracture ◽  
Acoustic Emission Sensors ◽  
Broadband Pulse ◽  
Thick Steel ◽  
Ae Signals ◽  
Wave Modes

This paper presents the findings of an investigation to determine theoretically and empirically the wave speeds and frequency content of the two primary Lamb wave modes, the symmetric (S0) and anti-symmetric (A0). A 2 mm thick steel plate measuring 700 mm by 700 mm was used to perform all measurements. A broadband pulse propagated through the plate and detected by a conical type piezoelectric receiver was used to show how the dispersive properties of the plate influenced the detected AE signals. It was shown that the two primary Lamb wave modes cover a very broad range of velocities, leading to a severe spreading of arrival times. A further investigation was completed using four acoustic emission sensors to record a pencil lead fracture, which was used as an artificial source. Reflections in the plate were shown to cause interference in the signal that can complicate the interpretation of the arrival modes. A recorded signal 400mm from the source was filtered into frequency bands. The arrival times of the wave modes were determined for each frequency band and the appropriate velocities calculated allowing a dispersion curve to be plotted experimentally. The plotted curve was shown to be a very close approximate to the calculated curve.

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