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Record W4213148482 · doi:10.1016/j.csite.2022.101866

A new microchannel heat exchanger configuration using CNT-nanofluid and allowing uniform temperature on the active wall

2022· article· en· W4213148482 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

VenueCase Studies in Thermal Engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer Mechanisms
Canadian institutionsInstitut interdisciplinaire d'innovation technologiqueUniversité de Sherbrooke
FundersDeanship of Scientific Research, King Saud UniversityKing Abdulaziz UniversityDepartment of Sport and Recreation, Government of Western Australia
KeywordsNanofluidMaterials scienceMicrochannelHeat exchangerMicro heat exchangerHeat transferHeat transfer enhancementHeat transfer coefficientPlate heat exchangerVolume fractionThermodynamicsMechanicsComposite materialNanoparticleNanotechnologyPhysics

Abstract

fetched live from OpenAlex

The present study presents a three-dimensional numerical analysis using the finite element method of nanofluid enhanced heat transfer in micro heat exchanger equipped with triangular fins. The new configuration based on an existent system where a jet impingement supplies a microchannel structure. A modification of the heat exchanger geometry in the z-direction is added allowing a uniform wall temperature profile. The micro heat exchanger is assumed to be well insulated. The hot fluid (water) flows in the lower channel with a fixed velocity (uw_in = 20 mm/s) and cold fluid (CNT-water nanofluid) flows in the upper channel which is equipped with triangular fins with a velocity (unf_in) ranged from 5 to 45 mm/s. The nanofluid is considered homogeneous with temperature-dependent thermophysical properties and the CNT nanoparticles volume fraction is varied from 0 to 5%. The results are presented in term of thermal and flow fields, heatlines, overall heat transfer coefficient, thermal effectiveness, and thermal performance factor (TPF). It was found that the performances of the heat exchanger are significatively improved using the CNT nanofluid and the triangular fins. But the TPF increase with the CNT volume fractions and decreases with the fin’s height.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.974

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 head0.027
GPT teacher head0.238
Teacher spread0.211 · 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