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Record W2802079893 · doi:10.1002/cjce.23227

Flocculation‐assisted dewatering of fluid fine tailings using a volute screw press

2018· article· en· W2802079893 on OpenAlexafffundvenueabout
Chen Wang, Aref Seyyed Najafi, Jacob H. Masliyah, Qingxia Liu, Zhenghe Xu

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsCanadian Natural ResourcesCumulative Environmental Management AssociationUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDewateringFlocculationTailingsVoluteFiltration (mathematics)Filter pressFilter cakeGeotechnical engineeringMaterials scienceGeologyEnvironmental scienceFilter (signal processing)MetallurgyEngineeringEnvironmental engineeringMechanical engineeringMathematicsImpeller

Abstract

fetched live from OpenAlex

Abstract A flocculation‐assisted process to continuously dewater oil sands fluid fine tailings using a volute screw press was developed. An anionic‐cationic flocculant scheme was applied first to flocculate essentially all suspended solids in the fluid fine tailings. The concept of elastic and plastic deformations for metallic solids was extended and successfully applied to describing compression and subsequent water release characteristics of the flocculated sediments. The newly‐developed “controlled vertical strain test” (CVST) provided a good measure of the impact of flocculants on the compressive dewaterability of flocculated sediments. A new empirical parameter named “compression dewatering index” (CDI) was obtained from the sediment compression response curve of the CVST. Field tests at Canadian Natural Resources Limited with a prototype volute screw press showed a linear correlation between the CDI and the filter cake dry solids content produced by the volute screw press. Under process conditions in this study, a stackable cake containing 55–60 wt% solids at a 5–7 kg dry solids/h production rate was achieved by applying the volute screw press to the flocculated fluid fine tailings. The novel findings from this study could serve as a useful theoretical framework for future research on flocculation‐assisted dewatering of fluid fine tailings by elevated external mechanical forces, as encountered in centrifuge and filtration.

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 score0.167
Threshold uncertainty score0.459

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 head0.019
GPT teacher head0.189
Teacher spread0.170 · 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

Citations5
Published2018
Admission routes4
Has abstractyes

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