Thermo Mechanical Behaviour of Nano Structured Plasma Sprayed Thermal Barrier Coatings
Bibliographic record
Abstract
Abstract Thermally sprayed ceramic coatings deposited from nanostructured feedstock powder have often shown improved mechanical properties comparing to coatings produced from convention feedstock. Bimodal structured ceramic deposits have been reported to demonstrate better properties such as wear resistance, adhesion strength and toughness. For thermal barrier coatings, high temperature performance is a key point especially creep/sintering. In this study creep/sintering rate of plasma sprayed, bimodal structured, yttria stabilized zirconia coatings were investigated. The creep behaviour was investigated using free standing thick (3 mm) coating layers loaded in the four point bending setup at two temperatures : 800 and 1000 ºC in air. Under the same test conditions the creep results for nanostructured coatings and conventional plasma spray coatings have been compared together and the former one in both temperatures showed a lower creep rate.
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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".