| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Connolly, Brian
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2023Validation of Deformation in Crystal Plasticity When Modelling 316H Stainless Steel for Use in Pressure Vessels
- 2023Microstructure Characterization of EU INCEFA-SCALE 316L Stainless Steel Fatigue Specimens – Mechanistic Understandingcitations
- 2020On the nature of precipitation in proton-irradiated reactor pressure vessel steel model alloys.
- 2019Corrosion behavior of active-screen plasma nitrided 17-4 PH (H1150D) steel in H2S/CO2 -containing environments
- 2017The Effect of Temperature and Carbonyl Sulphide on Carbon Deposition on 20Cr25Ni Stainless Steelcitations
- 2017Finite Element Modelling to Investigate the Mechanisms of CRUD Deposition in PWRcitations
- 2016Observation and simulation of indentation damage in a SiC-SiC fibre ceramic matrix compositecitations
- 2016Observation and simulation of indentation damage in a SiC-SiCfibre ceramic matrix compositecitations
- 2011Corrosion behaviour of banded microstructure within nugget of friction stir welds in AA2024-T351citations
- 2008In situ monitoring of corrosion processes within the bulk of AlMgSi alloys using X-ray microtomographycitations
- 2007Synchrotron X-ray microtomography study of the role of Y in corrosion of magnesium alloy WE43citations
- 2006Corrosion of a dissimiliar friction stir weld joining aluminium alloys AA2024 and AA7010citations
- 2006X-ray microtomography studies of localised corrosion and transitions to stress corrosion crackingcitations
Places of action
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conferencepaper
Microstructure Characterization of EU INCEFA-SCALE 316L Stainless Steel Fatigue Specimens – Mechanistic Understanding
Abstract
pressurized water reactor (PWR) primary environment can have a deleterious effect on the fatigue lifetime of austenitic stainless steels. One of the main goals of a five-year INCEFA-SCALE (INcreasing safety in NPPs by Covering gaps in Environmental Fatigue Assessment — focusing on gaps between laboratory data and component SCALE) project, kicked off in October 2020 and supported by the European Commission HORIZON2020 programme, is to develop an improved mechanistic understanding behind the effect of a PWR primary environment on the fatigue behavior of austenitic stainless steels through coordinated extensive characterization of as-machined and tested specimens at partner organizations.This work focuses on the microstructure characterization of as-received austenitic stainless steel 316L plate material and as-machined fatigue specimens, as well as the preparation of guidelines on post-mortem characterization for the consortium. The presented microstructure characterization is carried out using light optical microscopy (LOM), scanning electron microscopy (SEM), and analytical electron microscopy (AEM) (including electron backscatter diffraction (EBSD), scanning/transmission electron microscopy (STEM/TEM), X-ray energy dispersive spectroscopy (EDS) and electron diffraction). The hardness, grain structure, inclusions, and delta-ferrite of the as-received 316L material were investigated. The surface roughness, machining-induced deformation layers, and ultra-fine-grained structure of as-machined ground and polished specimens were studied.A ground surface finish leads to significantly higher machining-induced deformation, and surface roughness, with plenty of machining-induced cracks and defects extending a few microns into the bulk material, compared to a polished finish. The guidelines on the post-mortem characterization for the whole consortium can guide partner organizations in their posttest analysis for a direct comparison of the characterization data, which facilitates the mechanism interpretation.