3D Fracture Behaviours in Dual-phase Stainless Steel

Toda, Hiroyuki; Tomizato, Fukuto; Harasaki, Ryo; Seo, Do Won; Kobayashi, Masakazu; Takeuchi, Akihisa; Uesugi, Kentaro

doi:10.2355/isijinternational.isijint-2015-631

Cited by 18 publications

(5 citation statements)

References 29 publications

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“…They also observed void nucleation before the maximum load was reached. 16) On the other hand, voids nucleation behavior of industrially pure iron is different from that of duplex stainless steel. The relationship between the number of voids and the plastic strain for duplex stainless steel was shown in Fig.…”

Section: )mentioning

confidence: 99%

Effects of Specimen Thickness in Tensile Tests on Elongation and Deformation Energy for Industrially Pure Iron

et al. 2017

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Section: )mentioning

confidence: 99%

Effects of Specimen Thickness in Tensile Tests on Elongation and Deformation Energy for Industrially Pure Iron

et al. 2017

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“…To evaluate the proposed algorithms, we performed experimental studies using real data in addition to simulation data. In the real data, some experiments for propagation-based phase-contrast imaging were performed by synchrotron radiation X-ray micro-CT (Spring-8, BL20XU beamline), Japan [ 35 , 36 ]. A sample of duplex stainless steel was scanned with an x-ray energy of 37.7 (KeV).…”

Section: Resultsmentioning

confidence: 99%

Sparsity-based method for ring artifact elimination in computed tomography

et al. 2022

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Ring artifact elimination is one of the popular problems in computed tomography (CT). It appears in the reconstructed image in the form of bright or dark patterns of concentric circles. In this paper, based on the compressed sensing theory, we propose a method for eliminating the ring artifact during the image reconstruction. The proposed method is based on representing the projection data by a sum of two components. The first component contains ideal correct values, while the latter contains imperfect error values causing the ring artifact. We propose to minimize some sparsity-induced norms corresponding to the imperfect error components to effectively eliminate the ring artifact. In particular, we investigate the effect of using different sparse models, i.e. different sparsity-induced norms, on the accuracy of the ring artifact correction. The proposed cost function is optimized using an iterative algorithm derived from the alternative direction method of multipliers. Moreover, we propose improved versions of the proposed algorithms by incorporating a smoothing penalty function into the cost function. We also introduce angular constrained forms of the proposed algorithms by considering a special case as follows. The imperfect error values are constant over all the projection angles, as in the case where the source of ring artifact is the non-uniform sensitivity of the detector. Real data and simulation studies were performed to evaluate the proposed algorithms. Results demonstrate that the proposed algorithms with incorporating smoothing penalty and their angular constrained forms are effective in ring artifact elimination.

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“…ation, Growth and Coalescence Using synchrotron radiation X-ray computed tomography (CT), Toda et al found that plastic strain gradient was a factor in void nucleation in TRIP steel. 14) In a previous study, the authors showed that the hardness gradient from the grain boundary to the interior in commercial-grade pure Fe contributed to void nucleation. 18) Therefore, since the strain concentration around the grain boundary was higher in the WQ specimen than that in the AG specimen, more voids nucleated at low strain during tensile testing in the WQ specimen than in the AG specimen (Fig.…”

Section: Effect Of Plastic Strain Gradient On Void Nucle-mentioning

confidence: 97%

“…These conditions were set to match those used by Toda et al for analyzing voids in duplex stainless steels. 14) After median-filter (2 × 2 pixels) processing of the projection data obtained by X-ray laminography, 2D cross-sectional images were reconstructed by the filtered back-projection method with considering the inclination of the rotational axis. 15) 3D images were reconstructed and analyzed by an image analysis program (Avizo 9.1.1, FEI, USA), using 2 048 2D tomographic images as layers.…”

Section: Void Observation By Synchrotron Radiation X-raymentioning

confidence: 99%

Void Nucleation, Growth, and Coalescence Observed by Synchrotron Radiation X-ray Laminography during Tensile Deformation of Fe–0.02 mass% N Alloy

et al. 2018

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High-strength steel is required in many industries. However, elongation decreases as strength increases. Therefore, many types of high-strength steels have been developed in order to improve the balance of these mutually contradictory properties. These representative steel types are dual-phase (DP) steels, comprising mixtures of ferritic and martensitic 1) or bainitic phases, 2) and transformation-induced plasticity (TRIP) 3)-assisted steels, 4) in which the austenitic-martensitic phase transformation is triggered by deformation. Some studies 5,6) have investigated the effects of the microstructures of DP and TRIP steels on the strength and elongation

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3D Fracture Behaviours in Dual-phase Stainless Steel

Cited by 18 publications

References 29 publications

Effects of Specimen Thickness in Tensile Tests on Elongation and Deformation Energy for Industrially Pure Iron

Effects of Specimen Thickness in Tensile Tests on Elongation and Deformation Energy for Industrially Pure Iron

Sparsity-based method for ring artifact elimination in computed tomography

Void Nucleation, Growth, and Coalescence Observed by Synchrotron Radiation X-ray Laminography during Tensile Deformation of Fe–0.02 mass% N Alloy

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