Scale‐up design of a 300 kA magnesium electrolysis cell based on thermo‐electric mathematical models
Bibliographic record
Abstract
Magnesium production process is highly energy intensive. Electrolysis provides an effective route to reduce energy consumption and greenhouse gas emission for the magnesium production. This paper concerns the scale‐up design of a 300 kA magnesium electrolysis cell using a three‐dimensional thermo‐electric mathematical model. The model provides information on the steady‐state thermoelectric fields thus allowing the evaluation of the effects of structure parameters (anode–cathode distance, anode thickness, cathode thickness, anode width, and anode number) on the current intensity, resistance voltage drop, and current density. Non‐dimensional analyses give a linear relation between the current intensity and a set of dimensionless numbers, which upon further comprehensive analyses, gives a criterion for the scale‐up. Such a scale‐up criterion is found to be able to predict, within 1%, the amperage of 300 kA magnesium electrolysis cells. The results suggest that the criterion could be used for the scale‐up design of magnesium electrolysis cells with a high current intensity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".