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 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".