Electrochemical Monitoring of Selective Phase Corrosion of Nickel Aluminum Bronze in Seawater
Bibliographic record
Abstract
Components made from cast nickel aluminum bronze have been used extensively in some seawater systems because of their generally good toughness. However, this alloy can be susceptible to selective phase corrosion. This has led to requirements for removal of components on a fixed timetable to test for the presence of this corrosion. Significant savings in cost and labor could be achieved if components were only removed when significant corrosion damage had actually occurred. In an effort to find a useful method for online corrosion monitoring, several electrochemical techniques were assessed to determine if they could detect the onset of selective phase corrosion in specimens exposed to clean, flowing seawater that was subject to occasional injections of sulfides liberated from decaying marine organisms. Prior to immersion in the seawater, individual specimens were subjected to different heat treatments intended to either enhance or reduce susceptibility to selective phase corrosion. At the conclusion of the electrochemical tests, specimens were sectioned and inspected for evidence of selective attack.
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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".