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Microstructural and Mechanical Evolution of High Temperature Proton Irradiated FeCrMnNi Concentrated Solid-Solution Alloy

2024· article· en· W4403301997 on OpenAlexafffund
Qiang Wang, Cong Dai, Travis Skippon, Amy Fluke, Hui Yuan, Fei Long, Mark R. Daymond

Bibliographic record

VenueAdvances in materials technology for fossil power plants : · 2024
Typearticle
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsQueen's UniversityCanadian Nuclear Laboratories
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchAtomic Energy of Canada LimitedCanadian Light Source
KeywordsAlloyMaterials scienceIrradiationProtonSolid solutionMetallurgyNuclear physicsPhysics

Abstract

fetched live from OpenAlex

Abstract A FeCrMnNi concentrated solid-solution alloy was irradiated with a 2 MeV proton beam up to 1 dpa and 6 dpa at temperatures of 400 °C and 600 °C. The microstructural changes induced by irradiation were characterized using Transmission Electron Microscopy (TEM). In samples irradiated at 400 °C, Frank loops were the predominant form of lattice damage at 1 dpa, whereas small defect clusters were more prevalent at 6 dpa. For the sample irradiated to 1 dpa at 600 °C, both Frank loops and small defect clusters were present in similar density. Nanoindentation was employed to assess the changes in mechanical properties (hardness) post-irradiation, revealing significant hardening in all irradiated samples. The results indicated that the hardening effect began to saturate at 1 dpa or earlier. Additionally, nanoindentation creep tests with a 1200-second dwell period produced stress exponents comparable to those obtained from conventional creep testing. The findings suggest a shift in the deformation mechanism from dislocation glide to dislocation climb in the sample irradiated to 6 dpa at 400 °C.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.243
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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