UNSTEADY FLUID DYNAMICS FLOW AND HEAT TRANSFER IN CROSS FLOW OVER A HEATED CYLINDER EMBEDDED IN A POROUS MEDIUM
Bibliographic record
Abstract
In the present work, a numerical analysis is performed to study fluid dynamics and heat transfer for flow over a cylinder embedded in a porous medium. The objective of the work is twofold: first, to address the effect of porous medium on von Karman vortex formation at the cylinder wake, where it is found that porous media may suppress the formation of the vortex for a certain range of controlling parameters; and, second, adding porous medium to the domain of interest (air) modifies the effective thermal conductivity by many fold, depending on the material of the porous medium. Hence, an increase in the rate of heat transfer is expected. The work tries to quantify the rate of heat transfer. In this work the effect of the Reynolds number, Darcy number, and thermal conductivity ratio on the flow separation and rate of heat transfer are introduced and discussed. The Prandtl number is fixed at 0.71 (air). It is found that the porous medium enhances the rate of heat transfer and the rate of enhancement is a strong function of the thermal conductivity ratio. A correlation is suggested for the rate of heat transfer (Nusselt number) as a function of the Reynolds number and effective thermal conductivity ratio for the range of the investigated Darcy numbers.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".