Influence of process parameters on the microstructure and adhesion of glaze-based coatings
Why this work is in the frame
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Bibliographic record
Abstract
Developing coatings for specific applications involves several challenges, including the formation of defects and undesired chemical reactions during spraying, both of which pose significant engineering difficulties. Building on initial results in the development of glaze-based coatings, this study aims to provide insights into the effects of process parameters on the microstructure of coatings deposited via suspension plasma spray (SPS). These coatings were designed to mimic the glaze layer composition formed over cobalt-based alloys as a potential alternative to these materials. The influence of plasma current and spraying distance was analyzed for four different chemical compositions, and their impact on the coatings' microstructure was assessed. The results revealed that CoO partially oxidized to Co₃O₄, as expected; however, a reduction to metallic cobalt also occurred, creating a unique layered pattern. Meanwhile, Cr₂O₃ exhibited minimal chemical reactivity. Additionally, shorter spraying distances led to the formation of undesirable cauliflower-like surface features, caused by the plasma drag forces. Under mixed chemical compositions, the coatings showed small amounts of spinel formation but primarily exhibited zones rich in either cobalt or chromium oxides. Scratch tests to evaluate the adhesion/cohesion indicated that metallic cobalt formation decreased coating cohesion, due to interlayer adhesion failure of the coating. Furthermore, the addition of chromium oxide improved coating cohesion and adhesion to the substrate.
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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 | 0.001 |
| 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 it