Influence of TiN addition on densification behavior and mechanical properties of ZrB2 ceramics
Bibliographic record
Abstract
In the present work, densification behavior and mechanical features (fracture toughness and Vickers hardness) of undoped and TiN-doped ZrB2 ceramic materials, hot-pressed at 1800 ºC under 15 MPa for 1 hr, were studied. The addition of only 5 wt% TiN into ZrB2 has resulted in an increase in its relative density from 83% to 90 %. Removal of oxide contaminations like B2O3 via chemical reactions with TiN and new secondary phases formation such as ZrN, h-BN, and (Zr,Ti)B2 solid solutions were approved employing crystalline phase analysis and microstructural studies. Improvement of densification and restriction of grain growth caused enhancement of mechanical characteristics. The measured values of Vickers hardness and fracture toughness are ameliorated from 7.8 GPa and 1.5 MPa.m1/2 to 14.1 GPa and 3.8 MPa.m1/2, respectively.
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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".