Advances in Thermal Barrier and Abradable Ceramic Coatings by Chemically Bonded Composite Sol-Gel Technology
Bibliographic record
Abstract
The novel technology of chemically bonded composite sol-gel (CB-CSG) coatings has been developed at UBCeram. This essentially “ceramic paint” technology operates with CSG slurries formulated to contain a sol-gel “glue”, e.g. hydrated alumina sol, and inert filler, e.g. alpha alumina or yttria stabilized zirconia (YSZ), suspended in water or other solvent. The CSG is spray-deposited on metallic surfaces, and heat-treated at about 300°C to partially dehydrate the gel-derived hydroxides. CSG film is subsequently chemically bonded (CB) through reaction of the gel-derived active alumina with metal phosphates, such as aluminum phosphate. Effectively, the microstructure of such coating includes a porous network of refractory phosphate bonded alumina and/or YSZ. The vol% of porosity can be easily controlled in 5–60% range by adjusting spray conditions. Structural integrity (e.g. hardness and “abradability”) of the coatings can be controlled through the degree of chemical bonding treatment given. The spray-heat treat operations can be repeated to build porous films in excess of 1 mm thickness. The paper reviews the basics of CB-CSG technology. This research has focused on achieving the unique, strain-tolerant columnar microstructure of the coatings, somewhat resembling that of TBC by EB-PVD. Explanation of the process parameters controlling development of the columnar microstructure of the coatings is attempted.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".