Guided Wave Studies for Enhanced Acoustic Emission Inspection

Author(s):  
Joseph L. Rose
2006 ◽  
Vol 13-14 ◽  
pp. 23-28 ◽  
Author(s):  
C.K. Lee ◽  
Jonathan J. Scholey ◽  
Paul D. Wilcox ◽  
M.R. Wisnom ◽  
Michael I. Friswell ◽  
...  

Acoustic emission (AE) testing is an increasingly popular technique used for nondestructive evaluation (NDE). It has been used to detect and locate defects such as fatigue cracks in real structures. The monitoring of fatigue cracks in plate-like structures is critical for aerospace industries. Much research has been conducted to characterize and provide quantitative understanding of the source of emission on small specimens. It is difficult to extend these results to real structures as most of the experiments are restricted by the geometric effects from the specimens. The aim of this work is to provide a characterization of elastic waves emanating from fatigue cracks in plate-like structures. Fatigue crack growth is initiated in large 6082 T6 aluminium alloy plate specimens subjected to fatigue loading in the laboratory. A large specimen is utilized to eliminate multiple reflections from edges. The signals were recorded using both resonant and nonresonant transducers attached to the surface of the alloy specimens. The distances between the damage feature and sensors are located far enough apart in order to obtain good separation of guided-wave modes. Large numbers of AE signals are detected with active fatigue crack propagation during the experiment. Analysis of experimental results from multiple crack growth events are used to characterize the elastic waves. Experimental results are compared with finite element predictions to examine the mechanism of AE generation at the crack tip.


2006 ◽  
Vol 13-14 ◽  
pp. 69-76 ◽  
Author(s):  
Paul D. Wilcox ◽  
C.K. Lee ◽  
Jonathan J. Scholey ◽  
Michael I. Friswell ◽  
M.R. Wisnom ◽  
...  

Acoustic emission (AE) techniques have obvious attractions for structural health monitoring (SHM) due to their extreme sensitivity and low sensor density requirement. A factor preventing the adoption of AE monitoring techniques in certain industrial sectors is the lack of a quantitative deterministic model of the AE process. In this paper, the development of a modular AE model is described that can be used to predict the received time-domain waveform at a sensor as a result of an AE event elsewhere in the structure. The model is based around guided waves since this is how AE signals propagate in many structures of interest. Separate modules within the model describe (a) the radiation pattern of guided wave modes at the source, (b) the propagation and attenuation of guided waves through the structure, (c) the interaction of guided waves with structural features and (d) the detection of guided waves with a transducer of finite spatial aperture and frequency response. The model is implemented in the frequency domain with each element formulated as a transfer function. Analytic solutions are used where possible; however, by virtue of its modular architecture it is straightforward to include numerical data obtained either experimentally or through finite element analysis (FEA) at any stage in the model. The paper will also show how the model can used, for example, to produce probability of detection (POD) data for an AE testing configuration.


2018 ◽  
Vol 30 (9) ◽  
pp. 1318-1338 ◽  
Author(s):  
Mohammad Faisal Haider ◽  
Victor Giurgiutiu

This article presents a theoretical and numerical analysis of guided wave released during an acoustic emission event using excitation potentials. Theoretical formulation showed that guided wave generated using excitation potentials follows the Rayleigh–Lamb equation. The numerical studies predict the out-of-plane displacement of acoustic emission guided wave on the plate surface at some distance away from the source. Parameter studies were performed to evaluate the effect of (1) pressure and shear potentials acting alone and in combination, (2) plate thickness, (3) source depth, (4) rise time, and (5) propagating distance away from the source. Numerical results showed that peak amplitude of S0 signal increases with increasing plate thickness, whereas the peak amplitude of A0 signal initially decreases and then increases with increasing plate thickness. Regarding the source depth, it was found that peak amplitude of S0 signal decreases and A0 signal increases with increasing source depth. Peak time showed a notable contribution to the low-frequency component of A0 signal. There were large losses in S0 and A0 peak signal amplitude over the propagation distance from 100 to 500 mm.


Author(s):  
Yanting Xu ◽  
Xiaowei Wang ◽  
Yadong Wang ◽  
Jiele Xu

A large-scale equipment of a famous refining and chemical company of China had to be temporarily shut down for repairing, because one of its fractionation bottom reboiler tubes was suspected to leak. These tube bundles are densely distributed, and the outer casing of the reboiler is the fixed structure which can not be opened to check these tubes unless it is cut. The outer casing cutting for checking is very time-consuming (about 1–2 months) and costly. Possible pipe guided wave technology or endoscope method also can not be used because of acoustic attenuation from dense fins and severe corrosion of tubes or being inaccessible, so Acoustic Emission testing became the only choice for finding out the leaking tube in that time. Also due to the significant acoustic attenuation, the traditional Acoustic Emission linear positioning method is difficult to find out leaked tubes, so the zonal localization method of acoustic sources was predominant in this test. The hydraulic test of pipelines was used to stimulate acoustic signals from leaking sources. However, the water from leaking holes will be splashed to the adjacent pipes and then drop onto pipes below, which will cause false leaking signals. For finding out the leaked tube, logic method is adopted to infer the real leaked tube complementarily. The spatial positions of all tubes and the sequences, frequencies, amplitudes and total hits of acoustic signals from all tubes monitored are considered in the analysis. Finally, the leaked tube was successfully found out in half a day by the combination of Acoustic Emission testing and logic analysis, the leaked tube was replaced and the production was resumed in the next three days.


Author(s):  
C.K. Lee ◽  
Jonathan J. Scholey ◽  
Paul D. Wilcox ◽  
M.R. Wisnom ◽  
M. I. Friswell ◽  
...  

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