Solidification of ternary eutectic and near eutectic alloys in the Ag – Cu – Sn system
Bibliographic record
Abstract
The techniques for quenching samples during freezing, slow unidirectional solidification and differential scanning calorimetry were used to evaluate the freezing characteristics of eutectic and near eutectic ternary Sn rich Ag – Cu – Sn alloys. The ternary eutectic temperature was verified as 217·2±0·4°C and composition as 3·5 wt-%Ag, 0·9 wt-%Cu, 96·5 wt-%Sn. The ternary eutectic was observed to be of the faceted (Ag3Sn) faceted (Cu6Sn5) nonfaceted (Sn) type. The Ag3Sn phase forms a broken lamellar microstructure while the Cu6Sn5 phase forms a fibrous microstructure in which the fibres become 'hollow' hexagonal prisms (filled by Sn) at very low growth rates. The volume fraction occupied by the two compound phases was measured as 5·5±0·5 vol.-% and calculated as 5·63 vol.-%. It was observed that the compound phases are poor nucleation catalysts for Sn. The presence of faceting phases results in the formation of a skewed coupled zone, causing formation of primary Sn dendrites on freezing of a melt even of eutectic composition. When fractured, both compound phases showed brittle behaviour.
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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 | 0.001 | 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".