Influence on Lubricant Properties of Anti-wear Agent Containing Nitrogen, Boron and Molybdenum
Bibliographic record
Abstract
The lubricant property of composite lubrication oils was studied through the friction and wear experiment of the A3 steel-GCr15 steel pairs on the ring-block wear testing machine. The composite lubrication oils were prepared from base oil added various content (0, 2%, 3%, and 4%) of organic anti-wear agent, which contains Nitrogen, Boron and Molybdenum. In order to research the influence of the base oil, the non-brand base oil was selected to compare with the brand one. The results show that adding the anti-wear agent can enhance lubricant property and improve the frictional and wear resistance of materials. When the anti-wear agent content reached 3% in the composite lubrication, the A3 steel-GCr15 steel pairs possess the lowest friction coefficient and wear rate. The lubricant property of the non-brand base oil can be enhanced by adding anti-wear agent, even better than that of the brand with the same concentration (3%).
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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) | 0.000 | 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) | 0.000 | 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".