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Record W2602621516 · doi:10.5006/2305

FIB/SEM Study of Pitting and Intergranular Corrosion in an Al-Cu Alloy

2017· article· en· W2602621516 on OpenAlexafffund
Sh. Pournazari, Daan M. Maijer, Edouard Asselin

Bibliographic record

VenueCORROSION · 2017
Typearticle
Languageen
FieldMaterials Science
TopicNanoporous metals and alloys
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntergranular corrosionPitting corrosionMetallurgyMaterials scienceAlloyCorrosionAluminiumScanning electron microscopeComposite material

Abstract

fetched live from OpenAlex

Scanning electron microscopy (SEM) with energy dispersive x-ray spectroscopy (EDX) was used to study the formation of stable pits on an aluminum-copper casting alloy in artificial seawater solution at 10°C. The polished specimens were immersed for various times and the development of corrosion around intermetallic particles was monitored. Focused ion beam (FIB)/SEM was used to determine the subsurface microstructure at selected local attack sites within the corroded area. The earliest stages of attack started with pit initiation at the surface of intermetallic particles resulting in dealloying. Cu redistribution occurred during corrosion over the entire surface and its concentration differed from one site to another. FIB imaging revealed that localized corrosion was propagated where continuous particles were buried beneath the surface. Dealloying of the particle and matrix/particle interfacial attack produced a sponge-like remnant and cracks at the interface, respectively. Propagating away from the initiation sites, corrosion developed preferentially along the grain boundary network beneath the alloy surface.

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)0.001
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 score0.119
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.024
GPT teacher head0.296
Teacher spread0.272 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

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