Thermo-Hydraulic Performance of Mini Channels in the Presence of Nanoparticles Phase Change Material Slab
Bibliographic record
Abstract
In this paper, we investigate the effectiveness of combining mini-channel configurations in the presence of phase change material slabs. Different phase change material slabs connected with four mini channels were studied numerically. The Navier-Stokes and energy equations for the flow together with the energy equation for the phase change material considering the two-phase system were solved numerically using the finite element technique. Amongst the parameters investigated in this analysis is the Reynolds number, or in other terms, the flow rate. It is found that heat extraction continues as the flow rate within the microchannel increases until the velocity and thermal boundary layers have fully developed. When these layers are fully grown, adding slabs of phase change materials to the system allows for even more heat extraction. Therefore, a combination of mini-channel and phase change material is the best solution for combined heat extraction from a hot surface. This is especially true for circulating flows near the creeping flow with a low Reynolds number.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".