Numerical Modelling of Natural Convection Driven Melting for an Inclined/Finned Rectangular Enclosure
Bibliographic record
Abstract
This paper presents a numerical study aimed at understanding the impact of the mushy zone constant, Amush, on simulated phase change heat transfer with varying geometries (inclination angles, and fin additions). This parameter is found in the Carman-Koseny equation, which is used in the modified heat capacity-porosity formulation for modeling phase change; this approach models fluid flow within the mushy region as flow through a porous medium. The melting of dodecanoic acid inside a rectangular thermal storage unit was simulated in COMSOL Multiphysics 4.4 with Amush being varied for each geometry. The predicted numerical melt front positions were directly compared to published experimental results [18–20]. Results have shown that the influence of Amush on the melting rate of the PCM is reduced with increasing inclination angles of the enclosure; where the melt interface is perpendicular to the direction of gravity. This has been attributed to the reduced velocity magnitudes that appear near the melt interface in such geometries. The addition of the fins showed that near the fin region Amush does not play an important role. However, it was observed that the model over predicts the velocity near the fin in the one fin model, which caused a mismatch between numerical and experimental results.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".