Virtual source aperture imaging for non-destructive testing

Sutcliffe, Mark; Weston, Miles; Charlton, Peter; Dutton, Ben; Donne, Kelvin E.

doi:10.1784/insi.2012.54.7.371

Cited by 22 publications

(8 citation statements)

References 8 publications

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“…In this paper, the VSA technique has been developed as a data acquisition and imaging system, with improved resolution and SNR than in previous work [5] . The ability of FMC+TFM to fully exploit the focusing capabilities of an array transducer allows for increased resolution compared to traditional B-scanning implementations, and the averaging effect is shown to provide a significant improvement in SNR.…”

Section: Measuring Performancementioning

confidence: 99%

“…This increase in energy provides an improvement in SNR while reducing the number of transmissions to just a single firing. The technique has been further explored for its applicability to non-destructive testing (NDT) and combined with a SAFT-like imaging algorithm, where it is known as the virtual source aperture (VSA) technique [5] . In this work, a comparison of conventional SAFT, VSA and TFM is presented, where the resolution is shown as being comparable to that of TFM.…”

Section: Introductionmentioning

confidence: 99%

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Multiple virtual source aperture imaging for non-destructive testing

Sutcliffe¹,

Charlton²,

Weston³

2014

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Section: Measuring Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiple virtual source aperture imaging for non-destructive testing

Sutcliffe¹,

Charlton²,

Weston³

2014

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“…A Hilbert transform h [14] is used to obtain the complex component of the signal with pixel intensity values I(x, z) calculated for each pixel and tx, rx combination. Details of this algorithm can be found in [1,13,15] : …”

Section: Full Matrix Capturementioning

confidence: 99%

Ultrasonic imaging of full matrix capture acquired data for carbon fibre-reinforced polymer

Yan¹,

Sutcliffe²,

Wright³

et al. 2013

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Carbon fibre-reinforced polymer (CFRP) composites are increasingly used in safety and infrastructure-critical applications in the aerospace and renewable energy industries. However, such material poses a significant challenge to the ultrasonic non-destructive testing process due to its high attenuation, inhomogeneous structure and anisotropic acoustic properties. Current methods are limited to the implementation of inspection using ultrasonic beams normal to the surface. This is due to the velocity varying angularly within composites, which leads to unpredictable inspection results when using oblique beams. This paper describes two methods used to determine the measurement of velocity variations present in CFRP components with the aim of providing a velocity profile applied to the full matrix capture (FMC) imaging algorithm. From these measurements, a modified version of the totalfocusing method (TFM) algorithm is provided, which allows for velocity changes in relation to the angle to be considered. Experimental results are then presented, indicating successful incorporation of the velocity profile where fullyfocused imagery of several side-drilled holes was generated from a CFRP component.

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“…Dynamic focusing of ultrasonic emission and reception is realized, which enriches defect information and improves imaging resolution [2][3][4][5]. However, in the solution of the full-field sound field [6][7][8][9], full-focus imaging technology inevitably produces artifacts due to the isoacoustic path line diffusion and ultrasonic sidelobe energy leakage [10,11]. Such artifacts are related to the principle of full-focused ultrasonic detection, which is not convenient for direct elimination and affects the subsequent qualitative and quantitative analysis of defects [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Weighted Full-Focus Defect Detection and Imaging Method Based on Threshold Fusion for Phase Coherence Factor

et al. 2022

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Total focus (TFM) ultrasonic inspection imaging only uses the amplitude of defect data for delayed stack imaging (DAS), ignoring the phase information in the echo signal, which easily leads to low imaging resolution and interferes with subsequent quantitative analysis of defect size. To solve these problems, this paper proposes a phase coherence factor (TF-PCF) weighted full-focus imaging method based on threshold fusion: by combining the image sound intensity matrix with mathematical statistics, a reasonable threshold is set to screen out the effective pixels, and the parameter selection rules of the PCI algorithm model are redefined. The simulation and experimental results show that the TF-PCF imaging algorithm can effectively eliminate the noise information in the imaging area, including the artifacts near the defects that are difficult to be processed by PCI. Compared with PCI, TF-PCF has higher ability to quantify defect size. When using p-wave to detect large objects with a large number of defects and complex location distribution, the lateral size quantization error of the TF-PCF imaging algorithm is reduced by 8.5%. When sampling shear wave imaging to detect defects with tilted wedges, the lateral and longitudinal size quantization errors of defects are reduced by 10% and 20%, respectively. The reliability of defect size quantitative analysis is improved. Under the same test conditions, the complexity of TF-PCF model is far less than that of PCI model, which greatly improves the practicability of the algorithm model.

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Virtual source aperture imaging for non-destructive testing

Abstract: SAFT

Cited by 22 publications

References 8 publications

Multiple virtual source aperture imaging for non-destructive testing

Multiple virtual source aperture imaging for non-destructive testing

Ultrasonic imaging of full matrix capture acquired data for carbon fibre-reinforced polymer

Weighted Full-Focus Defect Detection and Imaging Method Based on Threshold Fusion for Phase Coherence Factor

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