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Record W1964250738 · doi:10.3103/s1067821210020045

Investigation of the kinetics of cobalt decarburization in a direct-current arc furnace

2010· article· en· W1964250738 on OpenAlexaff
V. P. Zhukov, V. A. Kniss, S. V. Kniss, A. S. Avdeev

Bibliographic record

VenueRussian Journal of Non-Ferrous Metals · 2010
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsNickel Institute
Fundersnot available
KeywordsDecarburizationCobaltMetallurgyDissolutionDiffusionKineticsMaterials scienceCarbon fibersMetalElectric arc furnaceSaturation (graph theory)OxygenAtmospheric temperature rangeActivation energyDiffusion layerChemistryAnalytical Chemistry (journal)Layer (electronics)ThermodynamicsComposite material

Abstract

fetched live from OpenAlex

Under the industrial operating conditions of a direct-current arc furnace in a temperature range of 1530–1650°C, the kinetics of cobalt decarburization by CoO additives is investigated. It is shown that, when the carbon concentration in the melt is lowered to 0.3–0.5%, the process rate is limited by the diffusion of carbon into the bulk of the liquid metal with activation energy of 58.74 kJ/mol. In the initial period of the process, the controlling stages are the saturation of the surface layer with oxygen and dissolution of CoO. To decrease the diffusion obstacles and shorten the duration of the final treatment of fire cobalt, it is recommended that convective flows in a bath be developed due to the increase in the current load.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.011
GPT teacher head0.226
Teacher spread0.216 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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