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Record W4295637447 · doi:10.1504/ijex.2022.125522

Thermal-hydraulic performance of constructal Y-shaped and X-shaped tube heat sinks in laminar flow

2022· article· en· W4295637447 on OpenAlexaff
Murat Aydın, António F. Miguel, Devaneyan Solomon Nitesh, Eda Aydin

Bibliographic record

VenueInternational Journal of Exergy · 2022
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsConstructal lawLaminar flowReynolds numberMechanicsHeat sinkHeat exchangerMaterials scienceThermodynamicsWork (physics)ThermalHydraulic diameterTube (container)Thermal conductionHeat transferPhysicsComposite materialTurbulence

Abstract

fetched live from OpenAlex

The ability and efficiency to dissipate heat is strongly dependent on the design of heat exchanger. Bifurcating systems are the solutions to fundamental access-maximisation problems. The performance of a forced-air heat sink with single Y-shaped, double Y-shaped and X-shaped configurations of tubes is investigated in this work. A 3-D numerical study is performed at Reynolds numbers (Re) ranging from 5 to 1,500, under a constant heat source. The study mainly focuses effect of the design of tube configurations on both the thermal and hydraulic performances. Among these configurations the optimal thermo-hydraulic performance against Re is determined. The deposition of particles from flowing air on wall of tubes may be detrimental for both thermal and hydraulic performances. The effect of particle size and Re number on deposition rates is also 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2022
Admission routes1
Has abstractyes

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