Numerical Simulation of the Temperature and Flow Fields of the Gas Baking Method for Heating Aluminum Electrolytic Cell
Bibliographic record
Abstract
In this paper the k e model and discrete radiation intension method have been used to simulate numerically the temperature and flow fields of the gas baking method to start up the aluminum electrolytic cell on the assumption that the absorption coefficient of radiation is not affected by turbulent character and the temperature of the gas in the cell is under 1 200 ℃.Because the source item of energy function is described by the discrete radiation intension method,the complex integral calculation about radiation is simplified in the numerical model.The functions can be solved by SIMPLER method.The investigation revealed that in initial baking stages,the temperature difference of the cell surface was about 197 ℃ at low heat load;with the rising of heat load,the temperature field became more even;at the end,the temperature difference was under 100 ℃ and the temperature distribution was substantially uniform on the surface.The simulation agrees well with the experimental results of industrial.The research conclusions provide the theoretical basis for the gas baking method of aluminum electrolytic cell.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".