3D CFD study of low-head direct chill slab casting of aluminium alloy AA3003
Bibliographic record
Abstract
A 3D control volume-based finite difference model was developed to simulate an industrial scale low-head direct chill (DC) slab casting process for the intermediate freezing range aluminium alloy AA3003. The model took into account the coupled nature of the turbulent melt flow and solidification heat transfer aspect of the direct chill casting (DCC) process. The model was used to predict the velocity and temperature fields. By post-processing, the temperature results, the sump depth and the mushy thickness at the centre of the slab and the shell thickness at the exit of the mould were calculated. Specifically, three important process parameters, namely, casting speed, melt superheat and effective heat transfer coefficient at the metal-mould contact region were varied in the range of 60 to 180 mm/min, 16 to 64°C, and 1.0 to 4.0 kW/m²K, respectively. Consistent with the industrial practice, in the mould, in the impingement and the free streaming regions, a step-wise increase of the cooling water temperature was considered. The predicted results were then critically analysed and 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".