Comparison of residual stresses and resistance to microabrasive wear of PACVD TiN and PVD TiN coatings on 100Cr6 steel
Bibliographic record
Abstract
The paper compares the residual stresses on TiN coatings applied to a substrate of hardened and tempered 100Cr6 steel by physical vapor deposition (PVD) and plasma-assisted chemical vapor deposition (PACVD) from the vapor phase. In both procedures, a TiN coating with a thickness of 1-2 m was applied to equally prepared substrate samples. The samples were tested for the permeability of the coating according to the VDI 3822:2011standard, the thickness was determined by the calotest and the residual stresses were analysed by the X-ray diffraction (XRD) method. The coating applied by the PVD process showed better adhesion and three times lower residual stresses compared to the coating applied by the PACVD process. On both coatings, the residual stresses are lower compared to uncoated samples in the hardened and tempered state.
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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 | 0.001 |
| 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".