THROUGH-WELD ULTRASONIC PHASED ARRAY INSPECTION USING FULL MATRIX CAPTURE

Full Matrix Capture and Total Focusing Method: The Next Evolution in Ultrasonic Testing

NDT World ◽

10.12737/article_5dcc0a6eb5e9e1.26070131 ◽

2019 ◽

pp. 37-41

Author(s):

Алан Колдер ◽

Alan Caulder

Keyword(s):

Ultrasonic Testing ◽

Phased Array ◽

New Techniques ◽

Full Matrix ◽

Major Improvement ◽

Ultrasonic Phased Array

Full matrix capture and the total focusing method are considered by many NDT experts to be the next major improvement to phased array ultrasonic testing. This article showcases some advantages the new techniques offer compared to the capabilities of traditional ultrasonic phased array.

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Laser induced ultrasonic phased array using full matrix capture data acquisition and total focusing method

Optics Express ◽

10.1364/oe.24.021921 ◽

2016 ◽

Vol 24 (19) ◽

pp. 21921 ◽

Cited By ~ 16

Author(s):

Theodosia Stratoudaki ◽

Matt Clark ◽

Paul D. Wilcox

Keyword(s):

Data Acquisition ◽

Phased Array ◽

Full Matrix ◽

Ultrasonic Phased Array

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Sparse-TFM Imaging of Lamb Waves for the Near-Distance Defects in Plate-Like Structures

Metals ◽

10.3390/met9050503 ◽

2019 ◽

Vol 9 (5) ◽

pp. 503 ◽

Cited By ~ 5

Author(s):

Haiyan Zhang ◽

Yaqun Liu ◽

Guopeng Fan ◽

Hui Zhang ◽

Wenfa Zhu ◽

...

Keyword(s):

Phased Array ◽

Lamb Waves ◽

High Sensitivity ◽

Thin Plates ◽

Rapid Imaging ◽

Destructive Testing ◽

Full Matrix ◽

Sparse Array ◽

Ultrasonic Phased Array ◽

Imaging Resolution

The ultrasonic phased array total focusing method (TFM) has the advantages of high imaging resolution and high sensitivity to small defects. However, it has a long imaging time and cannot realize near-distance defect imaging, which limits its application for industrial detection. A sparse-TFM algorithm is adopted in this work to solve the problem regarding rapid imaging of near- distance defects in thin plates. Green’s function is reconstructed through the cross-correlation of the diffuse full matrix captured by the ultrasonic phased array. The reconstructed full matrix recovers near-distance scattering information submerged by noise. A sparse array is applied to TFM for rapid imaging. In order to improve the imaging resolution, the location of active array elements in the sparse array can be optimized using the genetic algorithm (GA). Experiments are conducted on three aluminium plates with near-distance defects. The experimental results confirm that the sparse-TFM algorithm of Lamb waves can be used for near-distance defects imaging, which increases the computational efficiency by keeping the imaging accuracy. This paper provides a theoretical guidance for Lamb wave non-destructive testing of the near-distance defects in plate-like structures.

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Ultrasound Imaging Algorithm: Half-Matrix Focusing Method Based on Reciprocity

Mathematical Problems in Engineering ◽

10.1155/2021/8888469 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Xufei Guo ◽

Yan Han ◽

Pengfei Nie

Keyword(s):

Phased Array ◽

Linear Array ◽

Signal To Noise Ratio ◽

Industrial Applications ◽

Signal To Noise ◽

Full Matrix ◽

Calculation Process ◽

Ultrasonic Phased Array ◽

Data Capturing ◽

Noise Ratio

The ultrasonic phased array total focusing method (TFM) has the advantages of high imaging signal-to-noise ratio (SNR) and high defect resolution, but the problem of large amount data capturing and processing limits its practical industrial applications. To reduce the imaging calculation demand of the total focusing method, a half-matrix focusing method (HFM) is proposed based on the acoustic reciprocity. The method simplifies the calculation process of full-matrix data capturing (FMC) and total focus imaging. The experimental results show that the signal obtained by the linear array transceiver sensor is highly consistent, and the imaging resolution and signal-to-noise ratio of the half-matrix focusing method are slightly lower than those of full-matrix focusing method and higher than those of the B-scan imaging. However, compared with TFM, data acquisition and computational efficiency using the HFM have been improved significantly.

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