Bibliographic record
Abstract
In this study, a low-temperature ion nitriding treatment has been developed with the aim of improving the sliding behaviour of Ti-10V-2Fe-3Al, without adverse effects on its strength and ductility. The optimized nitriding treatment was carried out at a temperature of 600°C for 8 hours in a pressure dilute nitriding atmosphere of 67 Pa and 2.9 vol.% N2. The microstructural analysis indicated that the ion nitriding treatment led to the formation of a 0.5 μm thick compound layer. The microhardness measurements revealed the formation of an approximately 35 μm thick nitrogen diffusion zone beneath the compound layer. The tensile test results showed improvements in the tensile and yield strengths of the alloy with a minor decrease in the elongation. The load bearing capacity and friction properties of the nitrided surfaces under sliding were investigated by microscratch tests. It was found that the coefficient of friction values were reduced and the surfaces exhibited an excellent load bearing capacity.
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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".