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Fundamental Reactor Design Considerations for Reducing TiCl<sub>4</sub> Metallothermically to Produce Ti Powder

2012· article· en· W2058959262 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

VenueKey engineering materials · 2012
Typearticle
Languageen
FieldEngineering
TopicIron and Steelmaking Processes
Canadian institutionsCanadian Society of Intestinal Research
Fundersnot available
KeywordsDissolutionMolten saltSolubilityMaterials scienceTitaniumSalt (chemistry)Reducing agentMetalMass transferAbsorption (acoustics)Chemical engineeringInorganic chemistryMetallurgyChemistryOrganic chemistryChromatographyComposite material

Abstract

fetched live from OpenAlex

Continuous metallothermic reduction of TiCl 4 in a molten salt medium is affected by the low solubility of TiCl 4 in appropriate molten salts, the solubilities of suitable reducing metals in the salts and the vapour pressures of the different chemicals in the system. The purpose of the study is to compare quantitatively how the physical properties of the different suitable reducing agents will affect the development and design of a process to continuously produce titanium powder from TiCl 4 in molten salt. In the study Li, Na, Mg and Ca are compared with respect to the mass transfer rate requirements of TiCl4 absorption and metal dissolution.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.029
GPT teacher head0.232
Teacher spread0.203 · 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