Aluminium Melt Chemistry Benchmark Dataset
Melt charge compositions, alloying additions, and furnace conditions paired with resulting melt chemistry, blended from public sources and synthetic augmentation.
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This dataset is intended for research, education, and benchmarking. Industrial deployment requires validation with plant-specific data.
Schema
| Field | Type | Description |
|---|---|---|
| charge_Si..Fe | float · wt% | Charge composition |
| alloy_add | float · kg | Master-alloy additions |
| melt_temp | float · °C | Melt temperature |
| out_Si..Fe | float · wt% | Melt chemistry (label) |
Sample preview
| heat_id | charge_Si | alloy_add_Mg | melt_temp | out_Si | out_Mg |
|---|---|---|---|---|---|
| h-1042 | 6.8 | 4.2 | 720 | 7 | 0.42 |
| h-1043 | 7.1 | 3.8 | 735 | 7.2 | 0.39 |
| h-1044 | 6.5 | 4.6 | 712 | 6.7 | 0.45 |
| h-1045 | 7.4 | 3.5 | 740 | 7.5 | 0.36 |
Data dictionary
- charge_SiSilicon fraction in the charge (wt%)
- out_MgMagnesium in resulting melt (label, wt%)
Discussion
- r.Question
r.okafor
Digital product lead · 4d
Is the synthetic generator's noise model documented anywhere? Want to make sure augmentation is comparable to what we add on our side.
9 - maComment
matereal
Maintainer · 4d
Generator notes are in the linked research summary. Happy to expand the data dictionary if any fields are unclear.
6
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