Effect of Adding Nanocrystalline γ－Al_2O_3 on Sintering Behavior of Alumina Fibers
Bibliographic record
Abstract
The effect of adding nanocrystalline γ-Al2O3 powders on the sintering behavior of alumina fibers was investigated. The nanocrystalline powders will be stuffed into the pores formed from the packing of micron-sized alumina powders when the fiber is extruded. In the case of 40% nanocrystalline γ-Al2O3 in the mixed powders, the relative green density increases from 65% to 80%. The fiber can be sintered to near theoretical density at relatively low temperature because it is of higher density, narrower pore size distribution and smaller mean pore size. The diametric shrinkage of the fibers extruded from the nanocrystellineγ--Al2O3 is higher than that made from micron-sized powders. γ-Al2O3 phase is transformed to α-Al2O3 during sintering process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.018 | 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 teacher head, 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".