Bibliographic record
Abstract
Abstract The crevice corrosion of ASTM grade-12 titanium (Ti-12; 0.8 wt % Ni, 0.3 wt % Mo) has been studied in neutral 0.27 mol/L NaCl at temperatures up to 120°C using a galvanic coupling technique. The results were compared to those of similar experiments conducted on ASTM grade-2 titanium (Ti-2) specimens containing various amounts of iron impurity. The microstructural properties of the Ti-12 were determined by standard metallographic techniques and transmission electron microscopy. Penetration depth profiles were determined using metallographic and image analysis techniques. The redistribution of alloying elements (Ni, Mo) and impurities (Fe), and the location of absorbed hydrogen, were determined by secondary ion mass spectrometry (SIMS) imaging. The rate and extent of crevice propagation were significantly suppressed on Ti-12 compared to Ti-2, especially at higher temperature (120°C). Up to 97 % of the total amount of crevice propagation was driven by proton reduction inside the creviced area rather than by oxygen reduction outside the crevice. SIMS imaging shows that Ni accumulates on the corroding surface, probably in the form of residual Ti2Ni particles. Proton reduction is catalyzed on these particles, leading to their hydriding and an increase in the relative area of internal cathodes compared to available anodic surface area. This self-induced “cathodic modification” effect leads to repassivation of the corroded site before extensive damage can be sustained.
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 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) | 0.001 | 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 | 0.001 | 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 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".