Effect of Ferrous Ion Oxidation on Corrosion of Active Iron under an Aerated Solution Layer
Bibliographic record
Abstract
A new model was developed to study the effect of ferrous ion oxidation on the corrosion of active iron. When ferrous hydroxide precipitate is present at the iron surface as the result of corrosion, the solution boundary layer near the iron surface is saturated with ferrous hydroxide and the pH and ferrous ion concentration are fixed within the layer. The ferrous hydroxide precipitate and that of ferric hydroxide are often porous and do not provide resistance to the transport of solution species. Since this work deals with active iron corrosion, a passive film at the iron surface is not considered. The results show that ferrous ion oxidation decreases corrosion because it decreases oxygen concentration in the boundary layer. The corrosion rate can be decreased by up to 13.9%. This value is independent of boundary layer thickness, temperature, and saturation factor of ferrous hydroxide. The results indicate that ferrous ion oxidation does have an effect on the rate of iron corrosion and that neglecting ferrous ion oxidation when determining iron corrosion results in an overestimate of the corrosion rate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".