An integrated model to simulate the scattering of ultrasounds by inclusions in steels

Darmon, Michel; Calmon, Pierre; Bèle, Bertrand

doi:10.1016/j.ultras.2004.01.015

Cited by 26 publications

(19 citation statements)

References 8 publications

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“…More recently, the ATHENA code has been extended to 3D [17] showing good agreement with the modelling tool CIVA [18] in isotropic and heterogeneous media. However, FEM approaches suffer from extended computation times and physical memory limitations, especially if a large simulation domain is required, for example a large 3-D weld inspection scenario.…”

Section: Introductionmentioning

confidence: 88%

Ultrasonic array imaging through an anisotropic austenitic steel weld using an efficient ray-tracing algorithm

Nowers

Duxbury

Drinkwater³

2016

NDT & E International

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Ultrasonic inspection of austenitic welds is challenging due to their highly anisotropic and heterogeneous microstructure. The weld anisotropy causes a steering of the ultrasonic beam leading to a number of adverse effects upon ultrasonic array imagery, including defect mislocation and aberration of the defect response. A semi-analytical model to simulate degraded ultrasonic images due to propagation through an anisotropic austenitic weld is developed. Ray-tracing is performed using the A* path-finding algorithm and integrated into a semi-analytical beam-simulation and imaging routine to observe the impact of weld anisotropy on ultrasonic imaging. Representative anisotropy weld-maps are supplied by the MINA model of the welding process. A number of parametric studies are considered, including the magnitude and behaviour of defect mislocation and amplitude as the position of a fusion-face defect and the anisotropy distribution of a weld is varied, respectively. Furthermore, the use of the model to efficiently simulate and evaluate ultrasonic image degradation due to anisotropic austenitic welds during an inspection development process is discussed.

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Section: Introductionmentioning

confidence: 88%

Ultrasonic array imaging through an anisotropic austenitic steel weld using an efficient ray-tracing algorithm

Nowers

Duxbury

Drinkwater³

2016

NDT & E International

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“…The term D is the mean scatterer diameter, and k is the wavelength of ultrasound. The weak backscattered A-scan signals from small nonmetallic alumina inclusions in steel were modeled in detail by Darmon et al [9] using modified Born + D 2 W (doubly distorted wave) that amounts to taking into account wave velocity and density differences between the matrix (steel) and the inclusion (alumina). Using the 3.5 to 15 MHz focused beam probe, a C-scan image produced from A-scan signals was verified with X-ray image, and both images were found to match well.…”

Section: Ultrasonic Measurementmentioning

confidence: 99%

A Novel Method to Measure Cleanliness in Steel Using Ultrasonic C-Scan Image Analysis

Pandey

Raj

Roy

et al. 2008

Metall Mater Trans B

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The traditional method of measuring the cleanliness level of steel is to measure its total oxygen (TO), which does not provide information about the size, location, and distribution of more harmful macroinclusions. The present article highlights a novel method for cleanliness assessment in steel samples using ultrasonic C-scan image analysis. The method provides quick and large volume inspection and ability to catch macroinclusions that possess difficulty during further processing of the thin gage steel products, particularly for auto grades such as interstitial-free (IF) steel. This method deals with a multiscan, immersion ultrasonic system using high-frequency focused beam and image analysis software. A good correlation was found between ultrasonic parameter counts and TO in steel samples taken from tundish during the continuous casting of slab. The ultrasonic counts were also found to be correlated with some steelmaking parameters.

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“…Accordingly, for the scattering problem of arbitrary shapes, especially the inverse problem, many solutions have been put forward. Among them the Born approximation [4][5][6] is a relatively effective method, but still has many unsolved problems.…”

Section: Introductionmentioning

confidence: 99%

Shape reconstruction of parallelogram flaw

Zheng

2008

Front. Mech. Eng. China

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To reconstruct the shape of the scatterer in elastic media, the authors deduce the Born approximation solution of the two-dimensional scattering problem, which includes the shape factor that embodies all information about the shape of the scatterer. Accordingly, the change in the shape of the scatterer only necessitates the number of the corresponding new shape factors. For a parallelogram void in a long Al rod, its shape factor can be obtained. In view of the definition of a characteristic function, the shape factor has a corresponding integral representation. Obviously, the shape factor can be considered as a Fourier transform of the characteristic function, which is reconstructed from the inverse Fourier transform. The integral equation is considered as the basic equation to reconstruct the shape of the scatterer. The identification of the geometrical character of a flaw is then given by the two dimensional inverse Born approximation in a low-frequency range. For the parallelogram void, a theoretical calculating identification is performed. At the same time, the numerical results are obtained by the finite element method.

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An integrated model to simulate the scattering of ultrasounds by inclusions in steels

Cited by 26 publications

References 8 publications

Ultrasonic array imaging through an anisotropic austenitic steel weld using an efficient ray-tracing algorithm

Ultrasonic array imaging through an anisotropic austenitic steel weld using an efficient ray-tracing algorithm

A Novel Method to Measure Cleanliness in Steel Using Ultrasonic C-Scan Image Analysis

Shape reconstruction of parallelogram flaw

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