Modeling and Experimental Validation of Deagglomeration of Ultrafine Nanoparticles in Liquid Al During Noncontact Ultrasonic Casting of Al–Al<sub>2</sub>O<sub>3</sub> Nanocomposite
Bibliographic record
Abstract
Noncontact ultrasonic casting of nanocomposite has advantages over the contact method. Some of the advantages are (a) relatively uniform intensity of ultrasonic wave within the mold and (b) no dissolution of metal from the probe into the liquid metal. It also has disadvantages over the contact method. Since the ultrasonic action and cooling cum solidification occur simultaneously one needs to ensure completion of deagglomeration before the initiation of solidification. In the current study mathematical models of mold cooling cum solidification and deagglomeration have been developed to identify correct conditions for the noncontact ultrasonic casting. Using this approach a combination of casting parameters that will ensure complete deagglomeration of nanodispersoid was identified and Al–Al2O3 nanocomposite, in which Al2O3 nanoparticles are separated from each other, was successfully cast using noncontact ultrasonic casting.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".