Localization of embrittlement in CMAS-infiltrated thermal barrier coatings via laser shock experiments
Bibliographic record
Abstract
As the operation temperature of aero-engine increases, the threat of molten deposits, usually caused by volcanic ash or sand ingestion has a major concern to the durability of these systems. In thermal barrier coatings, the ceramic topcoat (TC) layer made of partially stabilized zirconia is highly sensitive to such corrosive attack by means of infiltration, causing their premature failure. Infiltration causes either a decrease in toughness and adhesion or an increase in stiffness of the TC layer. As a local method to assess the interface strength of TBCs, the Laser Shock Adhesion Test (LASAT) is investigated for the first time to a columnar ceramic coating with and without infiltration by a CMAS deposit. LASAT clearly shows the location of the minimum toughness zone within TC layer, which is associated with either the zone of infiltration, the infiltration depth limit or the TGO/topcoat interface. This is key to assessing the mechanical weakening from such corrosive attack.
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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 | 0.001 |
| 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".