Thermal Behaviour of Thermal Barrier Coatings and Steel/Thermal Barrier Coatings Structures
Bibliographic record
Abstract
Thermally sprayed yttria stabilized zirconia thick coatings were deposited on mild steel substrates with two different structures: conventional and bimodal (including of non melted submicron particles) using 204B-NS and Nanox S4007 feedstock powders. Both steel/zirconia samples and freestanding zirconia samples were prepared to allow characterization of a variety of physical and thermal properties. Thermal diffusivity and conductivity data obtained from the freestanding and layered samples are used to evaluate the thermal contact resistance between the substrate and the coating. The investigation showed that a bimodal structure was obtained using the Nanox S4007 powder which exhibited a higher thermal diffusivity than the conventional coating. The thermal contact resistance is lower in the case of the steel/bimodal coating as well. The influence of microestructural features such a porosity and pore shapes are discussed.
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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 | 0.001 |
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".