Investigating the Sintering Behavior of Porous Composites Made from Metallic Ni and YSZ Powders
Bibliographic record
Abstract
The aim of this investigation is to characterize the influence Ni oxidation has on the sintering of tape‐cast Ni/YSZ composites made from coarse and fine nickel metal powders compared with preoxidized NiO/YSZ mixtures. During heating to 900°C, the NiO/YSZ composites shrink while the coarse Ni/YSZ composites expand, due to nickel oxidation. Fine Ni/YSZ powders do not exhibit oxidation‐induced expansion. Most densification occurs during high‐temperature sintering to 1475°C, the Ni/YSZ composites shrinking less than the NiO/YSZ composites. Analysis indicates that swelling due to Ni oxidation dominates the volumetric changes at low Ni contents, while sintering dominates at high Ni volumes.
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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".