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LAMINAR AND TURBULENT OPPOSING MIXED-CONVECTIVE FLOW OVER A VERTICAL PLATE WITH A UNIFORM SURFACE HEAT FLUX

2015· article· en· W2017813747 on OpenAlex

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

VenueComputational Thermal Sciences An International Journal · 2015
Typearticle
Languageen
FieldEngineering
TopicCoal Combustion and Slurry Processing
Canadian institutionsQueen's University
Fundersnot available
KeywordsNusselt numberMechanicsPrandtl numberLaminar flowTurbulenceRayleigh numberNatural convectionCombined forced and natural convectionHeat fluxThermodynamicsForced convectionMaterials scienceBuoyancyReynolds numberHeat transferPhysics

Abstract

fetched live from OpenAlex

A numerical study of mixed natural and forced convective flow over a thin vertical flat plate which has a uniform surface heat flux has been undertaken. Attention has been restricted to the case where the buoyancy forces act in the opposite direction to the forced flow, i.e., to opposing mixed-convective flow. Laminar, transitional, and turbulent flow situations have been considered and the development of unsteady flow has been allowed for. The forced flow has been assumed to be steady and the Boussinesq approach has been used. The solution has been obtained by numerically solving the governing equations using the commercial CFD solver, ANSYS FLUENT© . The k-epsilon turbulence model with the full effect of buoyancy forces accounted for and with standard wall functions has been used in obtaining the solutions. The heat-transfer rate from the surface of the plate has been expressed in terms of the mean Nusselt number based on the overall plate length and the difference between the overall mean plate temperature and the undisturbed fluid temperature. This Nusselt number depends on the values of the heat flux Rayleigh number based on the plate length, the Reynolds number based on the plate length, and the Prandtl number. Results have been obtained for a Prandtl number of 0.74, i.e., essentially for the value for air. The conditions under which the flow can be assumed to be purely forced convective and under which the flow can be assumed to be purely natural convective, in particular, have been investigated.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.496

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 communication0.0010.001
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 head0.031
GPT teacher head0.279
Teacher spread0.248 · 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