Evaluation of multi-element methods applied to complex geometries

Bannouf, Souad; Robert, Sébastien; Casula, O.; Prada, Claire

doi:10.1063/1.4716311

Cited by 3 publications

(4 citation statements)

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“… The contribution of the surface profile in flaw detection: ( a ) delay laws computed for a planar surface; ( b ) delay laws are adapted to the curved geometry [ 13 ]. …”

Section: Figurementioning

confidence: 99%

“…The results of incorrect determination of a delay law are shown in Figure 1 [ 13 ]. The different approach to delay law computation for inspection of the curved object led to the appearance of false calls of artefacts when the delay laws are not adopted to a geometry ( Figure 1 a).…”

Section: Introductionmentioning

confidence: 99%

“…When the delay law is known, it is possible to determine the amplitude of echo signal and calculate the amplitude of each pixel of the tomogram according to Kirchhoff migration [12]. This approach is used both for objects with a flat surface and a curved one [13][14][15][16][17][18][19]. The range of curve shaped objects is rather wide, such as crankshafts and camshafts of internal combustion engines, blades of gas turbine engines, blades of water and steam turbines, bearings, wheels and axles of railway cars, etc.…”

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confidence: 99%

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The Effect of the Position Determination Error for Flexible Linear Array Elements on the Tomogram Focusing

Sednev

Soldatov

Kostina

et al. 2023

Sensors

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In the article, the study of the quality of tomogram focusing during the inspection of objects with curved surfaces by flexible acoustic array was described. The main goal of the study was theoretically and experimentally define the acceptable deviation limits of the elements’ coordinates values. The tomogram reconstruction was performed by the total focusing method. The Strehl ratio was chosen as a criterion for assessing the quality of tomogram focusing. The ultrasonic inspection procedure were simulated and validated experimentally by means of convex and concave curved arrays. In the study, it was proven that the elements coordinates of the flexible acoustic array were determined with an error of no more than 0.18λ and the tomogram image was obtained in sharp focus.

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“… The contribution of the surface profile in flaw detection: ( a ) delay laws computed for a planar surface; ( b ) delay laws are adapted to the curved geometry [ 13 ]. …”

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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The Effect of the Position Determination Error for Flexible Linear Array Elements on the Tomogram Focusing

Sednev

Soldatov

Kostina

et al. 2023

Sensors

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“…Additionally, the TFM methodology allows data visualization in both two and three dimensions [5]. This imaging technique is implemented in the CIVA software and offers three commonly used imaging modes: direct, corner echo and indirect imaging [5,6]. The use of several imaging modes allows to get complementary information related to the defect (images of edges related to tip diffraction echoes in direct mode, profile of a crack-like defect in specular or corner echo modes) as shown on the next application examples.…”

Section: Introductionmentioning

confidence: 99%

Multi-mode TFM imaging with artifacts filtering using CIVA UT forwards models

Яковлева¹,

Chatillon²,

Brédif³

et al. 2014

AIP Conference Proceedings

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TFM (Total Focusing Method) is an advanced post-processing imaging algorithm of ultrasonic array data that shows great potential in defect detection and characterization. This technique can be performed using several propagation modes (direct or over skip imaging) and several types of waves (longitudinal or transverse) allowing the imaging of extended defects of complex geometry. However, non physical indications can be observed, leading to misinterpretation. These imaging artifacts are due to the coexistence of several contributions involving several mode of propagation and interactions with possible defects and / or the geometry of the part. In several configurations, a simple time of flight criterion is not sufficient for their identification. This paper presents tools based on the forward CIVA UT models which allow to analyze and to filter these artifacts, without any tuning parameters. The performances achieved are compared to those of conventional TFM on simulated and experimental data.

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