Liquid Precursors Plasma Spraying of TiO2 and Ce- Doped Ba(Zr0.2Ti0.8)O3 Coatings
Bibliographic record
Abstract
Abstract In this work was studied the suitability of Solution/Suspension Precursors Plasma Spray (SPPS) technique to produce titanium dioxide (TiO2) and cerium doped barium zirconium titanate (Ce doped Ba(Zr0.2Ti0.8)O3 or BZT) coatings. The precursors were sol-gel solutions typically employed to produce powders of those compositions. We report on the formation of porous TiO2 coatings on stainless steel substrates. The microstructures found this coatings are characterized by features typically found in solution precursor plasma spray processes; a combination of melted and unmelted deposits and small hollow spheres. Transmission electron microscopy revealed submicron/nanocrystalline features forming those deposits. Anatase was the main crystalline phase present in the TiO2 coatings. The rutile phase was also found in the coatings. The photocatalytic activity of the coatings was measured and compared with the results obtained for commercial anatase powders dispersed in liquid. Preliminary results obtained for Ce doped Ba(Zr0.2Ti0.8) O3 coatings deposited on mild steel substrates showed microstructures and crystalline phases suitable for dielectric applications.
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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) | 0.002 | 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".