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Record W1925401164 · doi:10.1002/cjce.22298

Numerical simulation of gas‐solid heat transfer behaviour in rectangular spouted bed

2015· article· en· W1925401164 on OpenAlexvenueno aff
Chunhua Wang, Zhaoping Zhong, Xiaoyi Wang, Siti Aisyah Alting

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2015
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsnot available
FundersFundamental Research Funds for the Central Universities
KeywordsHeat transferMechanicsParticle (ecology)Convective heat transferJet (fluid)InletMaterials scienceConvectionHeat transfer coefficientThermodynamicsMechanical engineeringPhysicsGeology

Abstract

fetched live from OpenAlex

Abstract In order to investigate heat transfer behaviour at an individual particle scale, the particle cooling process in a rectangular spouted bed is simulated by the Computational Fluid Dynamics‐Discrete Element Method (CFD‐DEM). As the inlet gas velocity increases, the gas‐particle convective heat transfer in the jet region is intensified, while the convective heat transfer in the annular region is weakened. The inlet gas velocity also has an influence on the particle‐particle conductive heat transfer. Particle‐particle conductive heat transfer in the jet and fountain regions can both be enhanced by increasing inlet gas velocity, but this variation trend is opposite in the annular region. Additionally, the temperature distributions of particle and gas phases in the bed are also analyzed in detail. Compared with the infrared thermography experiment, the particle cooling process in the simulation results agrees closely with that in the experimental results.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.448

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 head0.203
Teacher spread0.193 · 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 designSimulation or modeling
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

Citations17
Published2015
Admission routes1
Has abstractyes

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