Influence of the modification of iron-bearing intermetallic and eutectic Si on the mechanical behavior near the solidus temperature in Al-Si-Cu 319 cast alloy
Bibliographic record
Abstract
The mechanical behavior near the solidus temperature in Al-Si-Cu 319 cast alloys was studied in both the solid and semisolid states . Mn and Sr were introduced to modify the iron-bearing intermetallic from platelet β-Fe to Chinese script α-Fe and the eutectic Si particles from a flake to fibrous shape, respectively. During the high-temperature tensile tests , the strength and ductility of the alloys decreased with increasing temperature and liquid fraction. The mechanical behavior at a given temperature near the solidus was mainly controlled by iron-bearing intermetallics and eutectic Si particles. In both the solid and semisolid states, the high-temperature mechanical properties are improved due to the modification of the iron-bearing intermetallics from platelet β-Fe to Chinese script α-Fe by Mn addition, while they are further enhanced by the simultaneous modification of the iron-bearing intermetallics and eutectic Si particles by the combined additions of Mn and Sr. The fracture surfaces of the tensile samples under solid and semisolid conditions were examined to study the crack initiation and propagation. The susceptibility to hot tearing for the alloys with different microstructures is discussed.
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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) | 0.000 | 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".