Investigation of the effect of solidification rate on microstructure of Al-0.13Si-0.3Fe DC-cast alloy using EBSD and DSC techniques
Bibliographic record
Abstract
Abstract Direct chill (DC) casting is used to cast aluminum alloy ingots. Casting speed influences the distribution and types of iron intermetallics in aluminum ingot microstructure. This study attempted to identify and quantify the iron intermetallic phases in the microstructure of laboratory scale DC Al- 0.13Si-0.3Fe samples using differential scanning calorimetry, scanning electron microscopy, electron backscatter diffraction, and energy dispersive X-ray spectroscopy. Both stable and non-stable iron intermetallic phases were observed but to different extents in all alloy samples’ microstructure. Two different types of iron-rich, AlFeSi globular particles were observed in the alloy samples’ microstructure. As a result, an attempt was made to understand the formation temperature and composition of these small, globular particles. DSC results confirmed that the enthalpy change of phase formation is dependent mainly on the volume fraction of the iron intermetallic phase in the microstructure. A good agreement was observed between the quantitative analysis results and the DSC analysis, which supports the reliability of the quantitative methods used in this study. The results obtained in this study bridge existing gaps in literature on the effect of cooling rate on the selection of iron intermetallic phases, in general, and in the AlSiFe globular particles, in particular.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 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 teacher head, 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".