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Record W2058316896 · doi:10.1080/08827509908962470

Rheological Properties of Magnetite Suspensions

2000· article· en· W2058316896 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

VenueMineral Processing and Extractive Metallurgy Review · 2000
Typearticle
Languageen
FieldEngineering
TopicCharacterization and Applications of Magnetic Nanoparticles
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRheologyMagnetiteMaterials scienceChemical engineeringMetallurgyComposite materialEngineering

Abstract

fetched live from OpenAlex

Abstract Rheological properties of aqueous suspensions of magnetite, varying in particle size distribution and solids content have been studied. Three models, the Bingham, the Herschel-Bulkley, and the Casson were found to describe the experimental flow curves quite well. The Casson model turned out to be very effective in describing the flow curves in a broad range of magnetite particle sizes (from d 63.2 = 30 μm resembling commercial magnetite down to a micronized magnetite with d 63.2 =2.7 μm), and over the solid content range from 5% to 25% by volume. The two rheological parameters obtained from the experimental data using the Casson model, the Casson yield stress and the Casson viscosity were evaluated, and it was concluded that while the Casson viscosity was nearly constant over the magnetite medium density range of 1.3 to 1.7 (5% to 20% by volume), the Casson yield stress varied in a predictable way with magnetite particle size and solids content.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.022
GPT teacher head0.228
Teacher spread0.205 · 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