Quantitative Analysis of Hydrogen‐Assisted Microcracking in Duplex Stainless Steel through X‐Ray Refraction 3D Imaging

Laquai, René; Schaupp, Thomas; Griesche, Axel; Müller, Bernd R.; Kupsch, Andreas; Hannemann, Andreas; Kannengießer, Thomas; Bruno, Giovanni

doi:10.1002/adem.202101287

Cited by 8 publications

(9 citation statements)

References 37 publications

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“…In ref. [61], we showed a quantitative characterization of damage caused by HAC in a 2101 lean duplex stainless steels (DSS). The detection of individual cracks is still a major challenge, since it needs high‐resolution (imaging) methods (the grain size of the phases in DSS is of the order of 10 μm); at the same time, a sound statistical analysis requires a large number of defects to be detected (and eventually imaged) and, therefore, a large FoV.…”

Section: Synchrotron X‐ray Refraction Computed Tomographymentioning

confidence: 99%

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A Review of X‐Ray Imaging at the BAMline(BESSY II)

et al. 2023

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The hard X‐ray beamline BAMline at BESSY II (Berlin, Germany) has now been in service for 20 years. Several improvements have been implemented in this time, and this review provides an overview of the imaging methods available at the BAMline. Besides classic full‐field synchrotron X‐ray computed tomography (SXCT), also absorption edge CT, synchrotron X‐ray refraction radiography (SXRR), and synchrotron X‐ray refraction tomography (SXRCT) are used for imaging. Moreover, virtually any of those techniques are currently coupled in situ or operando with ancillary equipment such as load rigs, furnaces, or potentiostats. Each of the available techniques is explained and both the current and the potential usage are described with corresponding examples. The potential use is manifold, the examples cover organic materials, composite materials, energy‐related materials, biological samples, and materials related to additive manufacturing. The article includes published examples as well as some unpublished applications.

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Section: Synchrotron X‐ray Refraction Computed Tomographymentioning

confidence: 99%

“…In ref. [61], we showed a quantitative characterization of damage caused by HAC in a 2101 lean duplex stainless steels (DSS).…”

Section: Imaging Of Hydrogen-assisted Cracking In Duplex Stainless Us...mentioning

confidence: 99%

A Review of X‐Ray Imaging at the BAMline(BESSY II)

et al. 2023

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“…In-situ experiments revealed the formation of cracks in fiber-reinforced plastics [ 15 ], the damage evolution in metal matrix composites under tensile load [ 16 ], or the evolution of different types of porosity in additively manufactured AlSi10Mg during heat treatment [ 17 ]. Recently, a synchrotron X-ray refraction tomography study quantified the hydrogen-assisted microcracking in duplex stainless steel [ 18 ] by 3D XR imaging.…”

Section: Diffraction Enhanced Imagingmentioning

confidence: 99%

“…This approach waives one recording full RCs, when such measurements are exceedingly time consuming, e.g., in the case of X-ray refraction computed tomography (XRCT) experiments [ 18 , 27 ]. Instead of sampling the full RC, one can record images with the AC at θ B (i.e., in the RC center of the flatfield, without the specimen).…”

Section: Diffraction Enhanced Imagingmentioning

confidence: 99%

Diffraction Enhanced Imaging Analysis with Pseudo-Voigt Fit Function

et al. 2022

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Diffraction enhanced imaging (DEI) is an advanced digital radiographic imaging technique employing the refraction of X-rays to contrast internal interfaces. This study aims to qualitatively and quantitatively evaluate images acquired using this technique and to assess how different fitting functions to the typical rocking curves (RCs) influence the quality of the images. RCs are obtained for every image pixel. This allows the separate determination of the absorption and the refraction properties of the material in a position-sensitive manner. Comparison of various types of fitting functions reveals that the Pseudo-Voigt (PsdV) function is best suited to fit typical RCs. A robust algorithm was developed in the Python programming language, which reliably extracts the physically meaningful information from each pixel of the image. We demonstrate the potential of the algorithm with two specimens: a silicone gel specimen that has well-defined interfaces, and an additively manufactured polycarbonate specimen.

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“…It has become a very useful tool by allowing non-destructive material inspection with a resolution of the order of micrometers [1][2][3][4][5]. In steel samples, microCT has been usually applied to observe subsurface cracking [6][7]. However, in the inspection these materials, metal scattering artifacts can occur.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of microCT images of steel cracks using mathematical filters

Araújo¹,

Machado²,

Oliveira³

et al. 2020

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MicroCT has become a powerful and widely used tool for non-destructive testing and can be used for mapping the complex 3D structures of cracks and their interactions. The materials of most oil and gas transport pipes, buried or submerged, such as high strength low alloy steels, for example, are likely to suffer corrosion degradation and fracture due to the corrosive environment. Similarly, cracks are one of the most severe types of discontinuity in a welded joint since they are strong stress concentrators. High tensile stresses develop in the weld region as a result of the localized thermal expansion and contraction, associated with the welding thermal cycle. To better characterize the cracking behavior, it is important to gain information about the evolution of the 3D crack network. However, the search for improving image quality in the inspection of steel samples using X-ray beams is still challenging because of spreading effects that can cause noise in the 3D image. For this purpose, we performed microCT tests to verify cracks due corrosion and loss of weld adhesion cracks applying mathematical filters to improve the final image quality. To enhance details of the grey scale microCT slices, the image was improved using anisotropic diffusion (AD) and unsharp mask (UM) filters, which have been found to be highly effective for enhancement of digital fractured media. With the results was possible to verify cracks around 0.66 mm for corrosion cracks and 4.27 mm for cracks due to loss of weld adhesion, as well as the cracks network in the 3D visualization of the inspected materials.

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Quantitative Analysis of Hydrogen‐Assisted Microcracking in Duplex Stainless Steel through X‐Ray Refraction 3D Imaging

Cited by 8 publications

References 37 publications

A Review of X‐Ray Imaging at the BAMline(BESSY II)

A Review of X‐Ray Imaging at the BAMline(BESSY II)

Diffraction Enhanced Imaging Analysis with Pseudo-Voigt Fit Function

Enhancement of microCT images of steel cracks using mathematical filters

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