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Record W4406038343 · doi:10.18311/jmmf/2023/47285

Effect of Viscous Dissipation and Thermal Radiation on Thermal Properties of MHD Nanofluid in a Curved Channel

2024· article· en· W4406038343 on OpenAlex
C. Kavitha, G. Neeraja, N. Gayathri, Sudhir Patel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Mines Metals and Fuels · 2024
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsNanofluidMagnetohydrodynamicsThermal radiationMechanicsThermalDissipationChannel (broadcasting)Materials scienceRadiationPhysicsHeat transferThermodynamicsOpticsEngineeringPlasmaElectrical engineeringNuclear physics

Abstract

fetched live from OpenAlex

The effects of radiation and magnetohydrodynamics on the peristaltic flow of a nanofluid through a porous media in a two-dimensional circular asymmetric channel have been theoretically analysed in terms of viscous dissipation. Under the assumption of a radially uniform magnetic field, the nanofluid is electrically conducting. The radiation response, thermophoresis, and Brownian motion are all taken into consideration by the transport equation. The assumptions of a long wavelength and a low Reynolds number have further simplified the problem. The impact of many parameters on the flow characteristics has been examined through graphical representations using MATLAB bvp4c. Further, impact of Nusselt and Sherwood numbers are studied and its effects are displayed through graphs. Also impact of Schmidt and Soret numbers are examined.

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.

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 score0.035
Threshold uncertainty score0.257

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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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