Novel fabrication process of AlN ceramic matrix composites at low temperatures
Bibliographic record
Abstract
Abstract A novel processing method to fabricate AlN-MgO-MgAl 2 O 4 composites has been developed, using non-sintered, porous, aluminum nitride (AlN) preforms infiltrated with a magnesium alloy in two directions, downward and upward, at relatively low temperatures (650°C, 800°C, 950°C). Microstructural, phase, and chemical analyses show that at 950°C and 135 min holding time, a continuous network of ceramic phases can be achieved successfully. Magnesium oxide and spinel phases (MgAl 2 O 4 ) are formed in-situ, when nitrogen gas is used. Due to the formation of a magnesium nitride layer on the surface of the non-sintered aluminum nitride, the infiltration mechanism proceeds effectively. No metallic phases are observed in the samples processed at 800°C and higher: these samples show high electrical resistivity ranging from 6.73×10 8 to 2.10×10 11 Ωcm. Thermal diffusivity, heat capacity and density have been measured using the nano-flash method, differential scanning calorimetry and Archimedes technique, respectively. The effects of residual porosity and holding time on the thermal conductivity have been studied. Maximum thermal conductivity and density at room temperature are 96 W/(mK) and 2.45 g/cm 3 , 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".