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Record W4412926661 · doi:10.4236/wjnst.2025.153009

A Case Study of the Susceptibility of Zircaloy-4 Sheathing to Iodine Stress-Corrosion Cracking as a Function of Their Metallurgical History in Fabrication

2025· article· en· W4412926661 on OpenAlexfundno aff
Mohsen Farahani, Paul K. Chan, Diane Wowk

Bibliographic record

VenueWorld Journal of Nuclear Science and Technology · 2025
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceStress corrosion crackingMetallurgyCrackingFabricationCorrosionZirconium alloyStress (linguistics)Iron alloysZirconiumComposite materialMedicine

Abstract

fetched live from OpenAlex

This experimental undertaking has primarily focused on determining the dependency of Pellet-Cladding Mechanical Interaction (PCMI) conditions and the resulting Iodine Stress-Corrosion Cracking (ISCC) failures on residual stresses within a wide range of manufactured CANDU Zircaloy-4 cladding (sheathing). ISCC failures remain a fuel performance concern for water-cooled reactors, including CANDU reactors, accommodating a multitude of power maneuverability events, at high discharge burnups. A multi-year examination of more recent and vintage Zircaloy-4 sheathing samples and their associated post-production stress state from two independent sources is provided. A relationship between the residual stress history in manufacturing processes of Zircaloy-4 and ISCC has been investigated, by static loading of slotted ring samples in iodine-methanol solutions (10 g·L−1) at room temperature. Results indicate that inherent residual tensile stress state of the sheathing above a certain threshold is strongly correlated to the failure in ISCC process.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.212
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.253
Teacher spread0.233 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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