Correlation of acoutstic-emission signal amplitude with deformation rate for the structure of materials

1986 ◽  
Vol 18 (2) ◽  
pp. 250-254
Author(s):  
S. I. Builo ◽  
A. S. Tripalin
Keyword(s):  
Deformation Rate ◽  
Signal Amplitude ◽  
Emission Signal

scholarly journals MODEL OF ACOUSTIC EMISSION SIGNAL AT SELF‐ACCELERATED CRACK DEVELOPMENT

Aviation ◽  
2005 ◽  
Vol 9 (3) ◽  
pp. 3-8 ◽  
Author(s):  
Vitalii Babak ◽  
Sergay Filonenko ◽  
Viktor Kalita
Keyword(s):  
Acoustic Emission ◽  
Theoretical Analysis ◽  
Crack Propagation ◽  
Acoustic Emission Signal ◽  
Propagation Velocity ◽  
Signal Amplitude ◽  
Crack Development ◽  
Signal Model ◽  
Crack Propagation Velocity ◽  
Emission Signal

The article is devoted to the theoretical analysis the problem of acoustic emission signals application for the detection of self‐accelerated crack development. The acoustic emission signal model has been proposed which takes into account the change of crack propagation velocity in the process of material loading. The process of self‐accelerated crack development results in growth of acoustic emission signal amplitude and compression the signal in time.

The Effects of Variable-Interval and Fixed-Interval Signal Presentation Schedules on the Auditory Evoked Response

1969 ◽  
Vol 12 (1) ◽  
pp. 199-209 ◽  
Author(s):  
David A. Nelson ◽  
Frank M. Lassman ◽  
Richard L. Hoel
Keyword(s):  
Variable Interval ◽  
Tone Burst ◽  
Signal Amplitude ◽  
Fixed Interval ◽  
Interval Schedule ◽  
Sensation Level ◽  
Fixed Interval Schedule ◽  
Auditory Evoked Responses ◽  
Auditory Evoked Response ◽  
Signal Presentation

Averaged auditory evoked responses to 1000-Hz 20-msec tone bursts were obtained from normal-hearing adults under two different intersignal interval schedules: (1) a fixed-interval schedule with 2-sec intersignal intervals, and (2) a variable-interval schedule of intersignal intervals ranging randomly from 1.0 sec to 4.5 sec with a mean of 2 sec. Peak-to-peak amplitudes (N 1 — P 2 ) as well as latencies of components P 1 , N 1 , P 2 , and N 2 were compared under the two different conditions of intersignal interval. No consistent or significant differences between variable- and fixed-interval schedules were found in the averaged responses to signals of either 20 dB SL or 50 dB SL. Neither were there significant schedule differences when 35 or 70 epochs were averaged per response. There were, however, significant effects due to signal amplitude and to the number of epochs averaged per response. Response amplitude increased and response latency decreased with sensation level of the tone burst.

Effect of deformation rate on the stress-strain curves of gelatin gels

1996 ◽  
Vol 93 ◽  
pp. 837-849 ◽  
Author(s):  
A Bot ◽  
IA van Amerongen ◽  
RD Groot ◽  
NL Hoekstra ◽  
WGM Agterof
Keyword(s):  
Deformation Rate ◽  
Stress Strain ◽  
Gelatin Gels

Research of the cold resistance of metals by indentation with registration of an acoustic emission signal

2020 ◽  
pp. 61-64
Author(s):  
Yu.G. Kabaldin ◽  
A.A. Khlybov ◽  
M.S. Anosov ◽  
D.A. Shatagin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Low Temperatures ◽  
Cold Resistance ◽  
Emission Signal ◽  
Impact Bending ◽  
Artificial Neural

The study of metals in impact bending and indentation is considered. A bench is developed for assessing the character of failure on the example of 45 steel at low temperatures using the classification of acoustic emission signal pulses and a trained artificial neural network. The results of fractographic studies of samples on impact bending correlate well with the results of pulse recognition in the acoustic emission signal. Keywords acoustic emission, classification, artificial neural network, low temperature, character of failure, hardness. [email protected]

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