Developing castability index for magnesium diecasting alloys
Why this work is in the frame
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Bibliographic record
Abstract
AbstractA partial castability index has been developed for magnesium diecasting alloys based on alloy characteristics such as solid thermal conductivity, non-equilibrium freezing range and hot tear sensitivity. The partial castability index I C for thin walled castings was developed using an industrial diecasting defect index I DD of five different alloys and regression analysis to give I C −0·08(ΔF)+0·58Δκ+0·01ΔHTS+0·06ΔT′ with R2=0·9977, where ΔF=(freezing range for AZ91)−(freezing range for alloy); Δκ=(thermal conductivity of alloy)−(thermal conductivity of AZ91); ΔHTS=(hot tear sensitivity of AZ91)−(hot tear sensitivity of alloy); ΔT′=(non-equilibrium freezing range of alloy)−60°C. The hot tear test and its hot tearing susceptibility (HTS) rating determined using a constrained rod casting mould can also assess the trend in diecastabilty of magnesium alloys in thin walled castings but the prediction is not as good as the partial diecastability index I C. The HTS rating correlates with the industrial diecasting defect index I DD as I DD=0·9HTS0·5.Keywords: DIECASTINGHOT TEAR RESISTANCECASTABILITY INDEXFREEZING RANGE
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it