Processing and Properties of a Ni-ZrO2 P/M Composite
Bibliographic record
Abstract
The powder metallurgy processing route is used for preparing Ni-matrix MMC by incorporating ultrafine Zr0 2 powder that is agglomerated into micron sized clusters.After blending with ball milling, the heated porous MMC is consolidated using the compression of a cam plastometer.Characterization of the MMC using SEM and EDAX reveals that most of the Zr0 2 clusters existing in the Zr0 2 feed powder can be nearly completely broken up by the ball milling process during blending.However, residual Zr0 2 clusters in a loose structure are preserved in the final sintered Ni-Zr0 2 material.After compression using a Cam plastometer, the clusters are not broken up but are flattened into discs but not densified or penetrated with Ni.A de-agglomeration process was attempted as an alternative blending process in order to achieve a better distribution of Zr0 2 .The results showed a modest improvement in the breakup of the clusters.Despite the presence of these clusters, it is shown that the dispersed Zr0 2 powders do increase activation energy for the flow stress of the MMC.
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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) | 0.002 | 0.001 |
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".