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Record W1666527987 · doi:10.1115/1.4031015

Combined Effect of Irradiation and Temperature on the Mechanical Strength of Inconel 800H and AISI 310 Alloys for In-Core Components of a Gen-IV SCWR

2015· article· en· W1666527987 on OpenAlexafffundabout
R.J. Klassen, Heygaan Rajakumar

Bibliographic record

VenueJournal of Nuclear Engineering and Radiation Science · 2015
Typearticle
Languageen
FieldMaterials Science
TopicFusion materials and technologies
Canadian institutionsWestern University
FundersDivision of Materials ResearchNatural Resources CanadaAustralian Government
KeywordsInconelIrradiationMaterials scienceAlloyHardening (computing)MetallurgyThermalRadiation damageRadiation hardeningComposite materialThermodynamicsNuclear physics

Abstract

fetched live from OpenAlex

Inconel 800H and AISI 310 alloy samples were exposed to Fe4+ ions to simulate neutron irradiation damage, and then annealed at 400°C and 500°C to study the kinetics of thermal recovery of the irradiation damage. The increase in hardness with ion irradiation and the decrease in hardness due to thermal recovery were recorded. Our findings suggest that under thermal and neutron irradiation conditions envisaged for the Canadian Gen-IV SCWR concept, both alloys will experience significant irradiation hardening; however, this will be concurrently negated by even more rapid thermal recovery of the irradiation damage.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2015
Admission routes3
Has abstractyes

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