A Study of the Mechanism for Beneficial Effects of Yttrium Additive in Lubricant on Corrosive Wear and Friction of Metals
Bibliographic record
Abstract
Previous work has demonstrated that the wear losses of stainless steel 304 and Al alloy 6061 under sliding in lubricant (oil and grease) mixed with dilute H2SO4 solution can be greatly reduced when a small amount of oxygen-active element (yttrium or cerium) powder is added to the lubricant. In order to explore the mechanism responsible for the beneficial effect of yttrium on corrosive wear resistance, corrosive-wear tests were carried out at different sliding speeds in lubricants with and without yttrium added respectively. Effects of yttrium on friction behavior of the materials were also studied. Worn surfaces were examined using SEM for better understanding of the role that yttrium played in corrosive wear. Possible mechanisms responsible for the beneficial effect of the oxygen-active element on corrosive wear are discussed.
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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) | 0.001 | 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) | 0.000 | 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 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".