Structure and Adhesion of Ni and Ni-WC Plasma Spray Coatings
Bibliographic record
Abstract
Abstract There is typically a large scatter in the observed failure stress, particularly for ceramic coatings. Failure can thus occur not only at the coating-substrate interface where it is desired but also through the coating, the bonding epoxy, or the epoxy/coating interface. A large number of alternative test configurations have been proposed in an attempt avoid such drawbacks, each with their advantages and disadvantages. A test method developed recently by Troczynski and co-workers, known as the Peel Adhesion Test, is of particular interest for this article. The first specimens examined were Ni-WC coatings applied to 150 micrometer thick 1010 stainless steel foils which were grit blasted in the same manner as a bulk substrate would have been. It was observed that the technique appears to offer the capability of providing a sensitive and reproducible measure of the effects of surface treatments and other deposition parameters on coating adhesion.
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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".