NATURAL CONVECTION OF NANOFLUIDS IN A SQUARE CAVITY HEATED FROM BELOW
Bibliographic record
Abstract
This paper reports a numerical study of natural convection in a square cavity filled with a copper-water nanofluid. The simulations are conducted following the lattice Boltzmann approach. The lower and upper horizontal walls of the cavity are heated and cooled isothermally, respectively; the vertical ones are insulated. The thermal conductivity of the nanofluid is modeled according to Maxwell-Garnett (Philos. Trans. R. Soc., vol. A23, pp. 385−420,1904) and Koo and Kleinstreuer (J. Nanopart. Res., vol. 6, pp. 577−588, 2004), respectively. The governing parameters for the problem are the thermal Rayleigh number, the Prandtl number, and the solid volume fraction of nanoparticles. Numerical solutions of the governing equations, based on the lattice Boltzmann method, are obtained for a wide range of the governing parameters. Results are presented in the form of streamlines, isotherms, and Nusselt numbers. The influence of the two models considered here, to predict the thermal conductivity of a nanofluid, on the onset of motion, onset of oscillatory flow, and convective heat transfer, is discussed.
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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".