Corrosion et passivation de l'étain dans un milieu simulé à une eau industrielle
Bibliographic record
Abstract
The corrosion behaviour of tin in a synthetic medium similar to an industrial water has been studied by using electrochemical methods (plotted potentiodynamic curves and polarization resistance measurement). The effect of pH variation, temperature and concentration of anions in solution has been investigated. The results obtained show that pH variation (around the value 8.2 of the synthetic medium) has no effect on the pitting sensitivity of tin. However, the increasing of temperature in the range of 2070°C accelerates the corrosion process. The presence of anions Cl and SO 4 2 leads to pitting corrosion of tin. Cl ions are more aggressive than SO 4 2 ions, whereas HCO 3 ions acted as an inhibitor for pitting corrosion of tin in the studied medium.Key words: tin, corrosion, pitting, industrial water.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.002 | 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 teacher head, 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".