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Double Diffusive Convection and Thermodiffusion of Nanofluid in a Square Cavity with different configurations

2014· article· en· W2236459102 on OpenAlexaff
Amirhossein Ahadi, M. Ziad Saghir

Bibliographic record

VenueProceeding of Proceedings of CONV-14: International Symposium on Convective Heat and Mass Transfer. June 8 - 13, 2014, Kusadasi, Turkey · 2014
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsNanofluidMaterials scienceSquare (algebra)Heat transferThermodynamicsLaminar flowMechanicsConvectionThermophoresisPorous mediumWettingNatural convectionHeat transfer coefficientPorosityComposite materialPhysicsGeometry

Abstract

fetched live from OpenAlex

A square cavity filled with hydrocarbon nanofluid of fullerene-toluene with different concentration values of fullerene was subject to various heating conditions. The cavity has been designed such that two different configurations will be investigated in details. In the first configuration a square porous cavity is adopted. In the second configuration a porous cavity surrounded by two liquid layers was studied. The full Brinkman formulation and the full Navier Stokes equations coupled with the heat and mass transfer equations were solved numerically using the finite element technique. Results have confirmed that in the presence of nanofluid a heat transfer enhancement is present until certain amount of initial concentration of the nanofluids. The heat convection coefficient was found to be 16% higher when nanofluid is used as the wetting fluid.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.006
GPT teacher head0.203
Teacher spread0.197 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2014
Admission routes1
Has abstractyes

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Same venueProceeding of Proceedings of CONV-14: International Symposium on Convective Heat and Mass Transfer. June 8 - 13, 2014, Kusadasi, TurkeySame topicNanofluid Flow and Heat TransferFrench-language works237,207