Pitting Corrosion in AZ31 Magnesium Alloy in Potassium-based Electrolytes
Bibliographic record
Abstract
Abstract AZ31 (UNS M11311) is popular wrought magnesium alloy used in many aerospace and automotive applications. However, its wider use is hindered by the paucity of information regarding its corrosion resistance in highly alkaline environments (pH > 13). Of particular interest is pitting corrosion, which has been reported to cause rapid localized corrosion in aqueous environments. In this work, KOH-based electrolytes were used to study the corrosion behavior of AZ31 alloy in highly alkaline environment. The effect of dopants and exposure time on pit initiation was studied via scanning electron microscopy (SEM) and optical microscopy. Long-time exposure immersion, Tafel analysis and electrochemical impedance spectroscopy (EIS) were performed to study the stability of the corrosion products and progression of degradation. The results suggest that presence of trace amounts of certain elements (e.g. silicates) resulted in a change of the pitting resistance in AZ31.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".