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Record W1984435116 · doi:10.1002/cjce.5450830228

On Fiber Rejection Loss in Flotation Deinking

2008· article· en· W1984435116 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicModular Robots and Swarm Intelligence
Canadian institutionsnot available
Fundersnot available
KeywordsDeinkingFiberChemistryEnvironmental scienceWaste managementPulp and paper industryWaste paperEngineering

Abstract

fetched live from OpenAlex

Reducing fiber rejection loss in flotation deinking is very important to conserve natural resources and reduce the cost of secondary fibers in paper recycling. This study examined two aspects of the problem, fiber consistency in the rejection stream and rate of froth (or wet stream) rejection. Flotation experiments were conducted using both nylon and wood fibers in column and commercial bench-scale flotation deinking cells. It was found that increased froth stability resulted in a lower fiber consistency in the wet reject stream. However, it also increased rejection rate of the wet stream. As a result, the total fiber rejection loss was increased with the increase of froth stability. The results obtained suggest that controlling froth stability through reducing frother application and froth rejection are effective ways to reduce fiber yield loss in flotation deinking. This study also experimentally measured water and fiber drainage in fiber suspended froth to explain the effect of froth stability on fiber consistency in the reject stream using froth drainage dynamics. Il est très important de réduire la perte de rejet de fibres dans le désencrage par flottation afin de conserver les ressources naturelles et de réduire le coût des fibres secondaires dans le recyclage du papier. Dans cette étude, on examine deux aspects du problème : la consistance des fibres dans le courant de rejet et le taux de rejet de mousse (ou courant de rejet humide). Des expériences de flottation ont été menées à l'aide de fibres de nylon et de bois dans une colonne et dans une cellule de désencrage par flottation commerciale de taille réduite. On a trouvé que l'augmentation de la stabilité de la mousse diminue la consistance des fibres dans le courant de rejet humide. Toutefois, cela augmente aussi le taux de rejet du courant humide. En conséquence, la perte de rejet de fibres totale augmente avec la stabilité de la mousse. Les résultats obtenus suggèrent que le contrôle de la stabilité de la mousse par réduction de l'application d'agent moussant et du rejet de mousse est un moyen efficace pour réduire la perte de rendement de fibres dans le désencrage par flottation. Dans cette étude, on a également mesuré de manière expérimentale le drainage de l'eau et des fibres dans une suspension de mousse de fibres pour expliquer l'effet de la stabilité de la mousse sur la consistance des fibres dans le courant de rejet à l'aide de la dynamique de drainage de la mousse.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.265

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 head0.011
GPT teacher head0.182
Teacher spread0.171 · 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