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Record W2043914197 · doi:10.1002/cjce.20119

Fibre fractionation using air‐sparged hydrocyclone

2009· article· en· W2043914197 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2009
Typearticle
Languageen
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHydrocycloneArithmetic underflowFractionationPulp (tooth)Volumetric flow ratePulp and paper industryChemistryChromatographyEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

Abstract Fractionation of mechanical wood pulp into two or more streams on the basis of fibre length has been investigated to recover valuable long fibres from virgin or recycled wood pulp. An air‐sparged hydrocyclone was used to fractionate the pulp at feed mass concentrations (consistencies) of 0.15% and 0.30%. The extent of fibre fractionation, as affected by feed flow rate, air flow rate, ratio of overflow to underflow rates, was studied. As well, the effects of pore size of the air sparger and cyclone length are presented. It was found that at low consistencies of the pulp feed, the overflow stream from the hydrocyclone had a significantly longer average fibre length than that of the feed pulp. The feed pulp consistency, feed flow rate, air flow rate and the ratio of overflow to underflow flow rates had a direct effect on the fractionation performance.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.418

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 head0.006
GPT teacher head0.186
Teacher spread0.180 · 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