A new microchannel heat exchanger configuration using CNT-nanofluid and allowing uniform temperature on the active wall
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".