Efficient Cooling Approach with Integrated PCM Rooftops for Sustainable Load Reduction in Buildings with Natural Ventilation Systems
Bibliographic record
Abstract
A new micromixer named '(Y-U)H' is proposed based on the split and recombine (SAR) principle.Five different (Y-U)H mixers are constructed with varying vertical cylindrical connector height H.The optimization is carried out by changing the height H from 0 mm to 0.8 mm at varying Reynolds numbers ranging from 1 to 100 using numerical simulation software Ansys 15.The numerical setup is validated by comparing the numerical data with the experimental results of a well-known SAR 'H' mixer.Proposed (Y-U)H mixers have superior mixing performance than the H mixer irrespective of Reynolds numbers.Furthermore, the (Y-U)H mixers show excellent efficiency (𝜂 > 90%) at low Reynolds numbers (𝑅𝑒 ≤ 1).However, efficiency declines with the incline of Reynolds numbers due to the absence of secondary flow, and efficiency is about 64% for Reynolds numbers ranging from 10 to 100.Mixing efficiency also depends on the vertical cylindrical connector height (H); both efficiency and pressure drop increase with the increase of vertical cylindrical height.The (Y-U)0.8 mm (H = 0.8 mm) mixer shows the highest maximum efficiency (74%) compared to all examined mixers.
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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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".