Estimation of comprehensive thermal performance for conjugate natural convection inside a dome-shaped porous chamber holding a solid cylinder
Bibliographic record
Abstract
The present work aims to investigate flow patterns and control of heat transfer by studying conjugate natural convection behavior inside a dome-shaped permeable chamber enclosing a heat-conducting solid cylinder. The application of this study includes heat transfer equipment such as heat exchangers, steam generator tubes, solar and wind power collector, nuclear reactor, electronic components, etc. The dimensional formulations of Navier-Stokes, thermal energy equations of the porous domains, and the solid cylinder have been used to solve the problem numerically using the finite element technique under realistic boundary conditions. The Darcy-Brinkman-Forchheimer model is used for the porous domain to perform the simulation-based study. Parametric computations have been performed for a large variety of Rayleigh numbers (103 ≤ Ra ≤ 108), several solid materials for the cylinder with varied thermal conductivity (7.99 W/mK ≤ ks ≤ 94.90 W/mK), four different positions (0.25L ≤ yc ≤ L) and different diameters of the cylinder (0.2L ≤ D ≤ 0.40L) inside the chamber, and different inclination angles of the chamber within the range of 0° ≤ θ ≤ 45°. The results in quantitative measurement of average Nusselt number change and qualitative visualization of streamline and isotherms are examined for maximum thermo-fluid performance inside the chamber. The outcomes demonstrate that the dome shape allows better fluid circulation within the chamber, resulting in improved convection heat transfer with a remarkable effect on the overall heat transfer rate of the system under the optimum condition. Besides, both conduction and convection-dominated heat transfer inside the porous cavity strongly depend on the Rayleigh number selection.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".