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Record W4402438646 · doi:10.11159/htff24.259

Mathematical Modelling of Forced Convection: Insights from Hele-Shaw Analogues and Cylinder Studies

2024· article· en· W4402438646 on OpenAlexvenueno aff
Azizi Ahmadi, Almon Chai, Victor Nee-Shin Bong

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicLattice Boltzmann Simulation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsForced convectionMechanicsCylinderConvectionComputer sciencePhysicsEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Despite being discovered more than a century ago, there is still a lack of understanding regarding the porous media analogue of the Hele-Shaw cell.It offers visualization of fluid flow and enhances knowledge of heat transfer in various technical applications.This study introduced a mathematical model of forced convection around a cylinder within a Hele-Shaw cell.The equations governing forced convection of porous media are modelled using the continuity equation, Navier-Stokes equation, and conservation of energy equation, under reasonable assumptions.Non-dimensionalization was carried out using the Buckingham Pi Theorem.The mathematical model was solved using the CFD software ANSYS Fluent, and the results were validated against available experimental and theoretical data from the literature.Simulation of forced convection over a cylinder in a Hele-Shaw cell we performed.The results showed that the Reynolds number has the direct impact on the Nusselt number.In general, as the Reynolds number increase, the Nusselt number also increases.This shows that the convection around the cylinder becomes more efficient when higher Reynolds numbers are applied to the system.

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 score0.273
Threshold uncertainty score0.726

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 head0.234
Teacher spread0.210 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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