NUMERICAL STUDY OF NANOFLUID FLOW AND HEAT TRANSFER IN A PLATE HEAT EXCHANGER
Bibliographic record
Abstract
This paper presents a numerical investigation of the flow and heat transfer behavior of two nanofluids, CuO−water and Al2O3−water, inside a plate heat exchanger. Both laminar and turbulent flows are studied under steady-state conditions. In the turbulent regime, the Reynolds-averaged Navier−Stokes-based realizable к-ε turbulence model was used. The homogeneous single-phase fluid model was employed to characterize the nanofluids. All fluid properties were considered temperature dependent. The adopted unstructured mesh possessed approximately 9.63 × 106 elements and was used for both the laminar and turbulent flows. The results show that a considerable heat transfer enhancement was achieved using these nanofluids, and the energy-based performance comparisons indicate that some of them represent a more efficient heat transfer medium for this type of application. In general, all nanofluids caused higher pressure losses due to friction than water.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".