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Record W4386071046 · doi:10.11159/icmie23.152

Thermal Entrance Length for the Laminar Forced Convection in Microtubes

2023· article· en· W4386071046 on OpenAlexvenueno aff
Mohamed Shaimi, Jâafar Khalid Naciri, Rabha Khatyr

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsnot available
FundersCentre National pour la Recherche Scientifique et Technique
KeywordsLaminar flowForced convectionThermalMechanicsConvectionMaterials scienceMeteorologyPhysics

Abstract

fetched live from OpenAlex

In this paper, the thermal entrance length for the laminar forced convection in circular microtubes is investigated.The flow is considered steady incompressible and hydrodynamically developed, and the fluid Newtonian with constant thermophysical properties.The effects of viscous dissipation, axial conduction and slip flow are taken into account.The first-order slip-velocity and temperature jump models are used for the wall boundary conditions.An exact analytical solution is used to calculate for the velocity and temperature distributions.Furthermore, the Nusselt number is determined in terms of the Brinkman number, the Pclet number and the Knudsen number.The effects of the Brinkman number, Pclet number, and the Knudsen number on the thermal entrance length are presented.It is found that the thermal entrance length is approximately compared to the radius for small Pclet numbers while it is continuously increasing for large values of the Pclet number.Otherwise, the thermal entrance length decreases as the absolute value of the Brinkman number increases.

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 score0.137
Threshold uncertainty score0.462

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 head0.007
GPT teacher head0.195
Teacher spread0.188 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

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