Oxidative Ablation Resistance Behavior of Hf C-based Ultra-high Temperature Ceramics
Bibliographic record
Abstract
The HfC-SiC composites with different volume ratio were prepared by hot press sintering.Then,the resultant samples were ablated by the supersonic speed gas flow for 600 s at 2300 K and 2500 K,respectively. The microstructure and composition of the ablated materials were analyzed by SEM and EDS. As can be seen,Hf C-Si C composites have excellent oxidation and ablation resistance. The ablation resistance property of 30vol% Si C-Hf C is superior to that of 50vol% Si C-Hf C and pure Hf C ceramics,which depends on the oxidation layer produced by Hf CxOyand SiO_2. Due to the weak adhesion,the oxidation layer and matrix have separated from each other,which can be resolved by adding Si C. With the temperature rising,the ablation resistance ability decreases and the thickness of ablation layer increases. Meanwhile,Si will lose as the temperature rises,which will result in the low density of oxide layer. As Si C is 50vol%,inner HfC_xO_y skeleton becomes looser and the ablation becomes serious.
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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".