Effect of strontium content on porosity and tensile properties of squeeze cast Mg–Al–Sr alloy
Bibliographic record
Abstract
The effect of strontium content on the tensile properties of squeeze cast Mg–Al–Sr alloy was investigated. Three strontium contents, 0, 1·5 and 3·0 wt-%, were added to a Mg–6Al alloy (AM60 alloy) which was squeeze cast under an applied pressure of 30 MPa. Tensile test results indicated that the ultimate tensile strength, yield stress and elongation of the squeeze cast Mg–Al–Sr alloy decreased with increasing strontium content. Microstructural analysis indicated that Sr content influenced a number of phases present in the squeeze cast alloys. Also, the grain size of the alloys was observed to decrease with increasing strontium content. It is proposed that an increase in porosity following Sr addition, which appears to offset its grain refinement effect, is responsible for the decrease in tensile properties.
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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 | 0.000 | 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".