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Record W2375704291

Numerical Simulation of the Temperature and Flow Fields of the Gas Baking Method for Heating Aluminum Electrolytic Cell

2002· article· en· W2375704291 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Applied Research
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsAluminiumMechanicsElectrolyteElectrolytic cellThermal radiationMaterials scienceRadiationFlow (mathematics)ThermodynamicsChemistryMetallurgyPhysicsOptics
DOInot available

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.246
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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