MétaCan
Menu
Back to cohort
Record W3176556495 · doi:10.1016/j.jmrt.2021.06.039

Investigating crevice corrosion behavior of 6061 Al alloy using wire beam electrode

2021· article· en· W3176556495 on OpenAlexaff
Cheng-qun Pan, Qingdong Zhong, Jian Yang, Y. Frank Cheng, Yulin Li

Bibliographic record

VenueJournal of Materials Research and Technology · 2021
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCrevice corrosionTafel equationMaterials scienceCorrosionAlloyMetallurgyScanning electron microscopePolarization (electrochemistry)AnodeDielectric spectroscopyChlorideElectrodeComposite materialElectrochemistry

Abstract

fetched live from OpenAlex

In this work, the non-uniform corrosion behavior of 6061 Al alloy in mass 3.5% sodium chloride solution under a crevice spacing of d = 206 μm was studied by using wire beam electrode (WBE) method. The combined tests of the WBE with dynamic potential polarization (Tafel) and electrochemical impedance spectroscopy (EIS) curves were carried out, together with a scanning electron microscope (SEM) and an X-ray photoelectric spectroscope. The results showed that the crevice corrosion was not obvious at the early stage, and the potential of Al alloy in the crevice area was higher than that outside the crevice. With increasing corrosion time, under the combined action of Al2O3, SiO2 and metal chloride gradually formed on the surface of Al alloy, the crevice area was reversed into the anode area, with corrosion current density of 3.399 × 10−4 A cm−2, which gradually showed the characteristics of crevice corrosion. This phenomenon suggested that the corrosion products and surface oxides of Al alloy determined the difference of corrosion behavior between the inside and outside crevice. Thus, it is well proved that the WBE is a feasible method to study corrosion behavior of crevice.

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 score0.001
Threshold uncertainty score0.002

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 communication0.0000.001
Open science0.0010.000
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 head0.068
GPT teacher head0.368
Teacher spread0.301 · 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

Citations28
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Materials Research and TechnologySame topicCorrosion Behavior and InhibitionFrench-language works237,207