Ablation behavior of ZrB2–SiC–Si composites with WC and MoSi2 additives coated through SPS on graphite
Bibliographic record
Abstract
The intention of this paper is to investigate the resistance to ablation of shielding composite coatings built with ultra-high temperature ceramic materials on graphite substrate. To apply the coating on the graphite, the spark plasma sintering route was employed. The applied monolayer coatings had the base compositions of ZrB2–SiC–Si with the additives of WC and MoSi2, both in the same contents of 1.25 and 3.75 vol%. The outcomes achieved from the ablation tests by oxyacetylene flame showed that applying the protective composite coatings notably enhances the resistance to ablation of the substrate made of graphite. The coating containing more of WC and MoSi2 additives had better performance in terms of ablation resistance in 30-210 seconds. The formation of an oxide layer of (Zr,Si)O2 at the beginning of the ablation process and creating a layer with a porous microstructure on the composite coating surface functioned as a barrier against the destruction and erosion of the inner parts during longer ablation times.
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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".