TEM Study of Supercritical Water Corrosion in 310S and 800H Alloys
Notice bibliographique
Résumé
Corrosion resistance is one of the key factors in materials selection for Gen IV supercritical water-cooled reactor (SCWR) concept; especially when it comes to selection for fuel cladding.Amongst the candidate materials, 310S austenitic stainless steel and INCOLOY® 800H are deemed very promising.A summary of the previous corrosion studies on candidate alloys can be found elsewhere [1,2].In this work TEM study of FIB sectioned test coupons is presented in our effort to understand the microstructural evolution of these alloys upon SCW exposure.Characterization of the sigma phase as a high temperature Cr-Fe intermetallic that is brittle in nature and potentially detrimental to the mechanical properties [3] is discussed.Coupons (20x10x2 mm) were cut from commercial austenitic steel 310S and 800H plates.The coupons were placed in a static autoclave containing deionized water and exposed to SCW condition (625°C, 25MPa) for 250 hours.Cross sectional transmission electron microscopy (TEM) samples were prepared using the FEI Helios NanoLab™ DualBeam™ FIB microscope from the top surface of the coupons [4].A protective layer of Pt was first deposited on the surface to protect the corrosion layer.TEM samples were observed using the FEI Tecnai Osiris™ TEM equipped with Super X field emission gun (FIG) and ChemiSTEM™ X-ray detection technology operating at 200kV.EDX analyses were done in STEM High angle annular dark field (HAADF) imaging mode.The Esprit software was used for qualitative and quantitative elemental mapping.Conventional bright field/ dark field imaging and electron diffraction techniques were used to characterize different corrosion regions and for phase identification.Fig 1 shows EDX elemental maps from the top region of a TEM specimen prepared from the 310S coupon.The top layer contains very fine grains of CrO2 with average grain size of ~50nm.A layer featuring recrystallized γ grains below the oxide layer is highlighted in Figure 2 and is also visible in the 800H sample in Fig 3.The average thickness of top chromium oxide layer for 310S and 800H samples were 270nm and 240nm respectively; and the thickness of the sublayer Cr-depleted recrystallized γ regions were 760nm and 800nm respectively.A selected area diffraction pattern (SAD) taken from this region showed superlattice spots coming from a σ grain grown coherently on the γ (Fig 2).An orientation relationship between the γ and σ was evident in both alloys.EDX mapping along with SAD analysis revealed that in the base metal in vicinity of the recrystallized region, the γ grains contained a network of very fine coherent σ nuclei.An example is shown in Fig 4 where an SAD from a large γ grains (region 1) below the recrystallized region 2 shows superlattice spots from the σ.The dark field image in Figure 4 acquired from, (0 0 2) reflection of σ reveals a network of σ within the γ matrix in the 800H.Similar phenomenon was observed in 310S.In summary, FIB/TEM provided a method for studying the microstructural changes after SCW exposure.This study sheds light on the nucleation and the evolution of σ phase during SCW exposure that may play an important role in corrosion resistance of SCWR candidate alloys.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».