Understanding localized corrosion of Ni- and Fe-based alloys in 280 °C mildly acidic sulfate environments
Bibliographic record
Abstract
The influence of sulfur on the localized corrosion susceptibility of Alloys 600 (Ni-16Cr-9Fe), 690 (Ni-30Cr-10Fe), and 800 (Fe-32Ni-21Cr) was investigated and compared in 280°C mildly acidic sulfate solutions. Variations in chromium content impacted the development of passivity and localized corrosion resistance of the alloys. Alloy 690, with the highest chromium content, demonstrated superior passivity and pitting resistance, with sulfur incorporated in the surface oxide layer. In contrast, Alloys 600 and 800 showed increased susceptibility to intergranular corrosion and pitting, respectively, with sulfur present at the oxide-metal interface (penetrated past the surface oxide). The density of pits or intergranularly attacked regions per unit area increased with a decrease in chromium content. Microscopic analysis of the passive films on each alloy revealed nanoscale differences in adhesion, oxide chemistry, and pitting behavior/susceptibility. These findings demonstrate the role of alloying elements and the effect of sulfur on a passive film.
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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".