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Record W4401136724 · doi:10.18280/mmep.110724

Effects of Thermal Radiation on the Heat Transfer Characteristics of a Rotating Nanofluid Flow Passing Through an Oscillating Vertical Plate with Variable Temperature

2024· article· en· W4401136724 on OpenAlexvenueno aff
Antony Gnana Aravind A, J. Ravikumar

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2024
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsnot available
Fundersnot available
KeywordsNanofluidMechanicsHeat transferThermal radiationMaterials scienceFlow (mathematics)ThermalRadiationVariable (mathematics)ThermodynamicsOpticsPhysicsMathematics

Abstract

fetched live from OpenAlex

This work intends to evaluate the heat transfer properties shown by an unsteady rotating nanofluid flow passing over a vertical plate that oscillates and has a temperature that changes when thermal radiation is present.It is produced exact analytical solutions for various water-based nanofluids comprising Ag, Al2O3 and TiO2.The study successfully addresses temperature and velocity-related challenges and comprehensively investigates the impacts of multiple factors, including the Prandtl number, Radiation parameter, Thermal Grasshof number, and time duration, on the temperature and velocity of the plate.The results are presented in detail with graphical illustrations.The significance of this discovery may be examined by the comparable velocity distributions of Al2O3-water and TiO2-water, which their almost identical densities can interpret.However, the increased density of Ag causes the Ag-water mixture to have a higher dynamic viscosity, resulting in a smaller boundary layer when compared to other particles.

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 score0.464
Threshold uncertainty score0.647

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 head0.009
GPT teacher head0.181
Teacher spread0.172 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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