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Record W2128002071 · doi:10.1149/1.3247986

Industrial Aluminium Production: the Hall-Heroult Process Modelling

2009· article· en· W2128002071 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

VenueECS Transactions · 2009
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsConcordia University
FundersAgence Nationale de la Recherche
KeywordsElectrolysisAluminiumElectrolyteElectrolytic cellPhase (matter)MechanicsFlow (mathematics)ElectrochemistryMaterials scienceElectrodeMetallurgyChemistryPhysicsPhysical chemistry

Abstract

fetched live from OpenAlex

Aluminium is produced according with the Hall-Heroult process. During this complex electrolyte two-phase electrolysis, it is difficult to model the current distribution and to optimize the process. The flow is the result of the magneto-hydrodynamic phenomena induced by the strong imposed currents and of the bubbles evolving. The reactivity and species concentration distribution are difficult to model. Bubbles are motion sources for the electrolysis cell flow, hydrodynamic properties are strongly coupled with species transport and electrical performances. Bubbles presence modifies these global and local properties. The goal of this proposition is to present the electrochemical engineering modelling of the Hall-Heroult two-phase electrolysis properties in the inter electrode interval. The numerical simulations are performed from both the chemistry and two-phase hydrodynamic point of views.

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 score0.949
Threshold uncertainty score0.418

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 head0.031
GPT teacher head0.224
Teacher spread0.193 · 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