Pore‐level melting process of composite phase change material within different porous structure
Bibliographic record
Abstract
Abstract Composites of phase change materials and porous media have been demonstrated as an efficient way to enhance thermal conductivity. To investigate the heat transfer process within the phase change material, a pore‐level composite phase change material model is established. The lattice structure of porous material can be idealized by hexahedral and Kelvin lattice structure. The Kelvin lattice structure demonstrates superior heat transfer performance and is employed to study the effect of porosity and pore density of the porous material on the melting process of the composite phase change material. The numerical results indicate that for a constant pore density, both the melting time and temperature response time of the composite phase change material decrease as porosity decreases. Similarly, for a fixed porosity, an increase in pore density leads to a reduction in melting time and temperature response time. Melting efficiency coefficient is introduced to evaluate the improvement in melting performance achieved by using porous material with different structural structures. Among all the structures examined, the Kelvin lattice structure with a porosity of 0.86 and a pore density of 20 pores per inch (PPI) exhibits the best heat transfer performance, achieving a complete melting time of 3.37 s, a temperature response time of 4.92 s, and a melting efficiency coefficient of 10.17.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".