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Record W1990710158 · doi:10.1081/ss-120021618

Continuous Separation of Fines from Fibers in a Wedge-Shaped Vessel

2003· article· en· W1990710158 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

VenueSeparation Science and Technology · 2003
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsInletVolumetric flow rateChemistrySuspension (topology)ElutriationMechanicsGeology

Abstract

fetched live from OpenAlex

The continuous removal of fines from a pulp suspension can be achieved by a particle elutriation process using, for example, a wedge-shaped vessel with an inclined tube at one vertical end wall that serves as an inlet for the suspension. Near the other vertical end, the suspension flow is split into a bottom stream containing the recovered pulp and a top stream containing the separated fines. The effect of operating conditions on both the hydrodynamic behavior and the separation efficiency was investigated. There are two critical limits for the operating flow rates of the feed suspension: below a minimum flow rate, fibers settle near the bottom exit and above a maximum flow rate, fibers escape in the top stream. These limiting flow rates do not show a strong dependence on operating conditions, except for a maximum inlet consistency above which the pulp bed expands into the outlet section, thus preventing fractionation. The particle concentration in the top stream was measured with a spectrophotometer, from which the separation efficiency was determined as a function of the inlet and outlet flow rates and the inlet consistency. The separation efficiency increases with increasing split ratio (i.e., the ratio of top to bottom streams) and with decreasing consistency of the feed suspension. Fiber loss in the top stream is about 1% of the fibers entering the vessel.

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 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 score0.015
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.259
Teacher spread0.248 · 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