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Record W2151177537 · doi:10.1149/05321.0003ecst

Electrochemical Aspects of Stress Corrosion Cracking of Ni-Cr-Fe Alloys in Acid Sulfate Solutions Relevant to Nuclear Steam Generators

2013· article· en· W2151177537 on OpenAlexafffund
S.Y. Persaud, Anatolie G. Carcea

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsUniversity of Toronto
FundersUniversity Network of Excellence in Nuclear Engineering
KeywordsSulfateStress corrosion crackingCorrosionMaterials scienceAlloyElectrochemistryMetallurgySulfurSodium sulfateAnodeInorganic chemistryChemistryElectrodeSodium

Abstract

fetched live from OpenAlex

Alloy 600 and Alloy 800 are Ni-Fe-Cr alloys used in nuclear steam generators. Sulfate is an impurity found in faulted secondary side water that can accumulate in crevices in the acidic-to-neutral pH range, possibly resulting in acid sulfate stress corrosion cracking. Electrochemical measurements were done on Alloys 600 and 800 exposed to acid sulfate solutions at 315 °C and 120 bar. Results indicate that the addition of sulfate significantly increased the corrosion rate of both alloys – possibly due to reduction of sulfate resulting in impairment of surface passivity by reduced sulfur species. The addition of Fe 2+ in solution reduced the corrosion rate due to the formation of a magnetite film. The corrosion rate and anodic current density of the 800 alloy were greater than those of the 600 alloy at high sulfate concentrations but became comparable at lower concentrations, or with the addition of Fe 2+ . SCC experiments were done and were in broad agreement with electrochemical measurements.

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 score0.003
Threshold uncertainty score0.006

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.243
Teacher spread0.228 · 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

Citations8
Published2013
Admission routes2
Has abstractyes

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Same venueECS TransactionsSame topicHydrogen embrittlement and corrosion behaviors in metalsFrench-language works237,207