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Record W4413274314 · doi:10.1016/j.rineng.2025.106803

Development of a bench-scale Kroll reactor: Experimental results and preliminary findings

2025· article· en· W4413274314 on OpenAlexaff
Thomas A. Ferguson, Carl Reilly, Steve Cockcroft, Daan M. Maijer

Bibliographic record

VenueResults in Engineering · 2025
Typearticle
Languageen
FieldChemical Engineering
TopicMolten salt chemistry and electrochemical processes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsScale (ratio)Environmental scienceEconomicsNuclear engineeringEngineeringGeographyCartography

Abstract

fetched live from OpenAlex

The Kroll process remains the predominant method for large-scale titanium sponge production, involving the reduction of titanium tetrachloride (TiCl₄) with molten magnesium (Mg) under an argon (Ar) atmosphere at 1000-1100 K producing molten magnesium chloride (MgCl 2 ) as a by-product. Despite its widespread industrial use, the Kroll process has received limited attention in the scientific literature, with existing studies presenting limited process data with differing interpretations. This lack of comprehensive understanding has left key reaction mechanisms in the commercial process poorly defined. This study presents four experiments with varying process conditions using a benchtop-scale reactor with high-resolution temperature and pressure instrumentation. These process conditions include, with and without the initial presence of MgCl 2 , varying feed rates and different materials present in the reactor to assess their ability to serve as substrates for Ti-sponge formation. The experimental results showed that the Ti sponge can grow on any substrate material irrespective of electrical conductivity, indicating that electron transport through crucible walls is not essential for Ti growth. Instead, it was found that the capillary action of Mg through porous Ti sponge was the driving force behind the continuation of the reaction. Furthermore, the reaction rate changed throughout the TiCl 4 feed, suggesting a changing surface area where the heterogenous reaction can occur.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.873

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 head0.007
GPT teacher head0.234
Teacher spread0.227 · 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 teacher head, 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

Citations3
Published2025
Admission routes1
Has abstractyes

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