Role of Curvature on Heat Flow Visualization and Irreversibilities during Natural Convection in Enclosures
Bibliographic record
Abstract
This article presents a detail analysis of heatlines and entropy generation during natural convection in various enclosures with curve (concave and convex) walls.The dimensions of enclosures are fixed in such a way that thedimensionless area of the cavity is one and the dimensionless length of the wall is one.Two heating strategies are considered such as (a) type 1: hot bottom wall, cold side walls in the presence of adiabatic top wall and (b)type 2: hot left, cold top and bottom walls in the presence of adiabatic right wall.Numerical simulations have been carried out for fluid with Prandtl number Pr = 0. 7 at different Rayleigh number (10 3 ≤ Ra ≤10 5 ).The distributions of isotherms, streamlines, heatlines and entropy generation due to heat transfer and fluid friction are compared for curved walled enclosures with those of square enclosure.The effect of Ra on the total entropy generation, average Bejan number and average Nusselt number is illustrated for considered enclosures involving both the heating strategies.The optimal configuration and optimal heating strategy is chosen based on the less entropy generation rate and higher heat transfer rate.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| 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 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".