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Record W2316443030 · doi:10.1002/cjce.22493

Effect of pipe inclination on the deposition velocity of settling slurries

2016· article· en· W2316443030 on OpenAlex
Ryan B. Spelay, Randall G. Gillies, Seyed Abdolreza Hashemi, R. Sean Sanders

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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicParticle Dynamics in Fluid Flows
Canadian institutionsUniversity of AlbertaSaskatchewan Research Council (Canada)
FundersCanadian Natural Resources Limited
KeywordsSettlingSlurryDeposition (geology)TurbulenceSuspension (topology)Materials scienceVolume (thermodynamics)Inclination anglePipe flowGeotechnical engineeringMineralogyGeologySedimentMechanicsComposite materialEnvironmental scienceGeometryEnvironmental engineeringPhysicsGeomorphologyMathematicsThermodynamics

Abstract

fetched live from OpenAlex

Abstract Experiments were conducted using a 100 mm diameter pipe loop to investigate the deposition velocity (V c ) of settling slurries in inclined pipe flows up to 20° (36.4 %). Slurries which comprised silica sand or gravel (0.1–8 mm) and water were tested at solids concentrations between 6–40 % by volume (0.06–0.4 L/L). For the fine (d ∼0.1 mm) and intermediate solids (d ∼0.19 mm, 0.3 mm), increases in V c with pipe inclination were marginal. For the coarsest solids (2 and 8 mm gravel), the deposition velocity increased significantly with pipe inclination. A comparison is made with the results of Wilson and Tse. The effect of inclination is correlated with the efficiency of turbulent suspension of the particles.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.078
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.005
GPT teacher head0.188
Teacher spread0.184 · 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