Imaging of Defects in Thin-Walled Tubing Using Ultrasonic Time-of-Flight

1992 ◽  
pp. 581-587
Author(s):  
W. R. Fundamenski ◽  
M. P. Dolbey ◽  
M. D. C. Moles
2005 ◽  
Vol 127 (3) ◽  
pp. 262-268 ◽  
Author(s):  
G. Baskaran ◽  
K. Balasubramaniam ◽  
C. V. Krishnamurthy ◽  
C. Lakshmana Rao

It is necessary to size the cracklike defects accurately in order to extend the life of thin-walled (<10mm) components (such as pressure vessels) particularly for aerospace applications. This paper discusses the successful application of ray techniques to simulate the ultrasonic time-of-flight diffraction experiments for platelike structures. For the simulation, the diffraction coefficients are computed using the geometric diffraction theory. The A and B scans are simulated in near real time and the different experimental parameters can be interactively controlled due to the computational efficiency of the ray technique. The simulated results are applied to (1) defect signal identification for vertical defects, (2) inspection of inclined defects, and (3) study the effect of pulse width or probe frequency on experimental results. The simulated results are compared with laboratory scale experimental results.


Author(s):  
Fabian Burmann ◽  
Jerome Noir ◽  
Stefan Beetschen ◽  
Andrew Jackson

AbstractMany common techniques for flow measurement, such as Particle Image Velocimetry (PIV) or Ultrasonic Doppler Velocimetry (UDV), rely on the presence of reflectors in the fluid. These methods fail to operate when e.g centrifugal or gravitational acceleration leads to a rarefaction of scatterers in the fluid, as for instance in rapidly rotating experiments. In this article we present two low-cost implementations for flow measurement based on the transit time (or Time of Flight) of acoustic waves, that do not require the presence of scatterers in the fluid. We compare our two implementations against UDV in a well controlled experiment with a simple oscillating flow and show we can achieve measurements in the sub-centimeter per second velocity range with an accuracy of $\sim 5-10\%$ ∼ 5 − 10 % . We also perform measurements in a rotating experiment with a complex flow structure from which we extract the mean zonal flow, which is in good agreement with theoretical predictions.


2006 ◽  
Vol 55 (2) ◽  
pp. 442-448 ◽  
Author(s):  
L. Angrisani ◽  
A. Baccigalupi ◽  
R. SchianoLoMoriello

AIP Advances ◽  
2016 ◽  
Vol 6 (3) ◽  
pp. 035006 ◽  
Author(s):  
Ruixi Jia ◽  
Qingyu Xiong ◽  
Lijie Wang ◽  
Kai Wang ◽  
Xuehua Shen ◽  
...  

2006 ◽  
Vol 55 (4) ◽  
pp. 1077-1084 ◽  
Author(s):  
L. Angrisani ◽  
A. Baccigalupi ◽  
R. Schiano Lo Moriello

2019 ◽  
Vol 444 ◽  
pp. 227318 ◽  
Author(s):  
James B. Robinson ◽  
Martin Pham ◽  
Matt D.R. Kok ◽  
Thomas M.M. Heenan ◽  
Dan J.L. Brett ◽  
...  

2018 ◽  
Vol 1044 ◽  
pp. 012045
Author(s):  
F Santos ◽  
J Villanueva ◽  
R Gouveia ◽  
J. Silva

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