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Record W2809416690 · doi:10.1002/cjce.23291

Eulerian study of flights discharge in a rotating drum

2018· article· en· W2809416690 on OpenAlexvenueno aff
Suellen Mendonça Nascimento, Rondinelli Moulin Lima, Rodolfo J. Brandão, Cláudio R. Duarte, Marcos A.S. Barrozo

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsDrumMechanicsEulerian pathComputational fluid dynamicsFlow (mathematics)Rotational speedEuler's formulaMaterials scienceMechanical engineeringSimulationPhysicsMathematicsEngineeringMathematical analysis

Abstract

fetched live from OpenAlex

The theoretical modelling of flow in a rotary drum is still a great challenge. In this study, the charge of solids in the flights as a function of angular position, rotational speed, number of flights, and granular material was investigated. The prediction of the flow of solids by simulation using a Euler‐Euler approach was also investigated. The simulated results were compared with experimental data using granulated sugar and glass beads as material, with the rotary drum operating with 12 and 15 flights. The results showed that the Eulerian approach along with the kinetic theory of granular flow (KTGF) agreed with the experimental results obtained with the rotary drum operating in several configurations, with average deviations between numerical and experimental data being smaller than 15 %. The CFD approach allowed the development of a more generalized model compared to the empirical and geometrical equations used in the literature to predict the solids holdup.

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 score0.164
Threshold uncertainty score0.372

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 head0.007
GPT teacher head0.186
Teacher spread0.179 · 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

Citations24
Published2018
Admission routes1
Has abstractyes

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