Quantitative ultrasonic phased array imaging

2014 ◽  
Author(s):  
Brady J. Engle ◽  
Lester W. Schmerr, Jr. ◽  
Alexander Sedov
Keyword(s):  
Phased Array ◽  
Ultrasonic Phased Array ◽  
Array Imaging

Ultrasonic Phased Array 3D Imaging for the Steel Butt Weld Defects

2015 ◽  
Vol 727-728 ◽  
pp. 799-803 ◽  
Author(s):  
Zhi Hao Liu ◽  
Chao Lu
Keyword(s):  
Phased Array ◽  
Programming Algorithm ◽  
Butt Weld ◽  
Test Information ◽  
Detection Technology ◽  
Array Probe ◽  
Ultrasonic Phased Array ◽  
Imaging Detection ◽  
Linear Array Probe ◽  
Array Imaging

Ultrasonic phased array imaging detection technology combinating the focused beam and array probe movement can get powerful test information. It has been widely used in the steel butt weld detection. For making up the limitations of 2D view, in this paper,we used one-dimensional linear array probe, got 2D slice view data obtained by phased array ultrasonic S-scan, through software programming algorithm to realize 3D reconstruction of steel butt weld typical defects. Experiment shows that it can display more intuitive performance of the defects in space. Revealing a better shape, size and orientation information. Providing a reference for the final evaluation of the defect.

scholarly journals Monitoring fatigue crack growth using nonlinear ultrasonic phased array imaging

2017 ◽  
Vol 26 (5) ◽  
pp. 055006 ◽  
Author(s):  
Jingwei Cheng ◽  
Jack N Potter ◽  
Anthony J Croxford ◽  
Bruce W Drinkwater
Keyword(s):  
Fatigue Crack ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Phased Array ◽  
Nonlinear Ultrasonic ◽  
Ultrasonic Phased Array ◽  
Array Imaging

scholarly journals Improving Depth Resolution of Ultrasonic Phased Array Imaging to Inspect Aerospace Composite Structures

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 559 ◽  
Author(s):  
Reza Mohammadkhani ◽  
Luca Zanotti Fragonara ◽  
Janardhan Padiyar M. ◽  
Ivan Petrunin ◽  
João Raposo ◽  
...  
Keyword(s):  
Signal Processing ◽  
Composite Structures ◽  
Phased Array ◽  
Depth Resolution ◽  
Depth Information ◽  
Structural Noise ◽  
Composite Layers ◽  
Ultrasonic Phased Array ◽  
Scan Data ◽  
Array Imaging

In this paper, we present challenges and achievements in development and use of a compact ultrasonic Phased Array (PA) module with signal processing and imaging technology for autonomous non-destructive evaluation of composite aerospace structures. We analyse two different sets of ultrasonic scan data, acquired from 5 MHz and 10 MHz PA transducers. Although higher frequency transducers promise higher axial (depth) resolution in PA imaging, we face several signal processing challenges to detect defects in composite specimens at 10 MHz. One of the challenges is the presence of multiple echoes at the boundary of the composite layers called structural noise. Here, we propose a wavelet transform-based algorithm that is able to detect and characterize defects (depth, size, and shape in 3D plots). This algorithm uses a smart thresholding technique based on the extracted statistical mean and standard deviation of the structural noise. Finally, we use the proposed algorithm to detect and characterize defects in a standard calibration specimen and validate the results by comparing to the designed depth information.

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