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Development of a Continuous Process to Produce Ti via Metallothermic Reduction of TiCl<sub>4</sub> in Molten Salt

2013· article· en· W2003661416 on OpenAlex
D.S. van Vuuren, Salomon Johannes Oosthuizen, J. Swanepoel

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 · 2013
Typearticle
Languageen
FieldChemical Engineering
TopicMolten salt chemistry and electrochemical processes
Canadian institutionsCanadian Society of Intestinal Research
Fundersnot available
KeywordsMolten saltTitaniumAgglomerateProcess engineeringProcess (computing)ScheduleReduction (mathematics)Materials scienceProcess developmentMetallurgyComputer scienceEngineeringMathematicsComposite material

Abstract

fetched live from OpenAlex

After evaluating many different routes to produce titanium, the CSIR of South Africa selected a process to produce titanium powder continuously via metallothermic reduction of TiCl 4 in molten salt. The project risks are being managed using the well-known STAGE/GATE method. The first two stages, viz, Route Selection and Preliminary Assessment have been completed and the next stage entailing campaigns extending over several days of uninterrupted operation, producing titanium at a rate of about 2 kg/h has recently begun. The rationale for selecting the process route is briefly reviewed and key process problems that had to be solved before embarking on scale-up and measures to do so are explained. Specific problems are: • Feed line blockages, • Titanium product formation and adherence to reactor internals, • Agglomerate formation; and • Production of very fine particles. Lastly the planned schedule and current status of the project are discussed.

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 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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.006
GPT teacher head0.203
Teacher spread0.197 · 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