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Marangoni Convection inWater-Isopropanol Mixtures in the Presence of Soret Effect

2011· article· en· W2012905030 on OpenAlexaff
Mohammad Azizur Rahman, M. Ziad Saghir

Bibliographic record

VenueInternational Journal of Fluid Mechanics Research · 2011
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMarangoni effectConvectionMaterials scienceMarangoni numberLayer (electronics)MechanicsFlow (mathematics)Porous mediumThermodynamicsPorosityPhysicsComposite material

Abstract

fetched live from OpenAlex

In the present study, the onset of Marangoni convection in a liquid layer overlaying a porous layer where the whole system is being laterally heated is investigated. The non-linear two-dimensional Navier Stokes equations, the energy equation, the mass balance equation and the continuity equation are solved for the liquid layer. The Brinkman model is used for the porous layer. The partial differential equations are solved numerically by using the finite element technique. Two different cases are analyzed in this paper. In the first case, the Marangoni convection in the absence of the Soret effect is studied. Results revealed when the liquid layer and the porous layer have identical thickness, the convective flow remains in the liquid layer and this is independent of changing the aspect ratios (length-to-height). However, the flow covers the entire cavity when the liquid layer thickness is very small (less than 1/10 of the porous layer). In the case of Marangoni convection in the presence of Soret effect, it has been found that the convective flow remains in the liquid layer even when the liquid layer thickness is very small.

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)0.002
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 score0.025
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.311
Teacher spread0.263 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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