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Record W2090888207 · doi:10.1139/cjp-2014-0072

Mixed convection of electrically conducting and viscous fluid in a vertical channel using Robin boundary conditions

2014· article· en· W2090888207 on OpenAlexvenueno aff
J. Prathap Kumar, J. C. Umavathi, Ali J. Chamkha, Y. Ramarao

Bibliographic record

VenueCanadian Journal of Physics · 2014
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsnot available
FundersUniversity Grants Commission
KeywordsPhysicsBiot numberNusselt numberMechanicsBoundary value problemBrinkman numberConvectionFluid dynamicsBuoyancyViscous liquidThermodynamicsReynolds number

Abstract

fetched live from OpenAlex

An analytical and semi-analytical method is used to solve two-fluid magneto-hydrodynanamic flow and heat transfer in the presence of a constant electric field in a vertical channel using Robin boundary conditions. The channel is filled with electrically conducting fluid in one region and non-conducting fluid in the other region, which are immiscible. The viscous and Ohmic dissipation terms are included in the energy equation. The fluids in both regions are incompressible and the transport properties are assumed to be constant. Separate solutions are matched at the interface using suitable matching conditions. First, the simple cases of the negligible Brinkman number or the negligible Grashof number are solved analytically. Then, the combined effects of buoyancy forces and viscous dissipation are analyzed by a perturbation series method (PM) valid for small values of the perturbation parameter. To relax the conditions on the perturbation parameter, the flow fields are solved by using the differential transform method (DTM). The results are presented for various values of mixed convection parameter, perturbation parameter, Hartman number, viscosity ratio, width ratio, conductivity ratio, and Biot numbers for open and short circuits. The effects of these parameters on the physical characteristics, such as the Nusselt number at the walls, is also studied. The solutions obtained by DTM are justified by comparing the solutions obtained by PM, and good agreement is found.

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 score0.384
Threshold uncertainty score0.350

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 head0.025
GPT teacher head0.218
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 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

Citations12
Published2014
Admission routes1
Has abstractyes

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