The effect of porosity on the hot corrosion failure of thermal barrier coatings
Bibliographic record
Abstract
It has been found that the use of low-grade fuels in land-based turbines results in the hot corrosion (Type-I) degradation of turbine blades in Saudi Arabia. Due to the diffusion of a molten salt, V 2 O 5 , into the top coat of thermal barrier coatings, volumetric expansion of the coating occurs as a result of the tetragonal-to-monoclinic transformation of zirconia. The top coat material is usually made porous due to the need for higher thermal resistance in the coatings. In the present study, a phase field model that estimates the kinetics of microstructure evolution during the corrosion process is estimated at 900 °C. The transformation-induced stresses are predicted by coupling the phase transformation with elasticity. The governing equations are implemented numerically using the finite element method. The effect of pore size, shape, orientation, and dispersion is also investigated. The result shows that very high compressive stresses are developed within the coating cross-section, which eventually causes the spallation failure of the coating.
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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 | 0.001 |
| 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 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".