Solidification of single droplets under combined cooling conditions
Bibliographic record
Abstract
In this study, a pneumatic high-temperature droplet generator was used to generate individual droplets (diameter range: 350 - 1200 μm) which were cooled under combined cooling conditions. The individual droplets were cooled in a nitrogen atmosphere after ejection and during subsequent free fall. After a defined falling distance, the particles were quenched in either oil or water to further increase their cooling rate. Two alloys in different temperature ranges were used to study the effect of different cooling conditions quantitatively by the analysis of different microstructural features. To show the working range of the droplet generator, a metallic glass FeCo35.1Nb7.7B4.3Si2.8 (liquidus: 1210 °C) was used as a high-temperature alloy, and its resulting amorphous fraction was quantified as an indicator for different cooling conditions. Furthermore, the aluminium alloy AlCu4.5 (liquidus: 650 °C) was solidified under different conditions and the subsequent secondary dendrite arm spacing (SDAS) measurements were analyzed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".