Investigation into Tribological Properties of TD-Treated D2 Steel for Applications in Dry Machining of Aluminum Alloy
Bibliographic record
Abstract
This research is to investigate tribological properties of thermal diffusion (TD) treated D2 steels against aluminum (Al 6061) counterface material for its potential applications in dry machining/forming of aluminum composite materials. A hard vanadium carbide (VC) layer was formed on the tool steels by the TD process. Original D2, thermal treatment hardened D2 and TiN coating on hardened D2 were used as references. Pin-on-disc tribo-tests were performed on those samples against Al pins under a dry sliding condition. Wyko profilemetry analysis showed that Al pin material transferred to the D2, hardened D2 and TiN coating surface and caused adhesive wear, which may negatively influence product quality in machining/forming applications. The TD-VC coating on D2 steel has a good adhesive wear resistance and anti-sticking of aluminum performance, which is a promising material used for dry machining/forming of aluminum.
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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".