Impact of Pore Diameter on Heat Conduction Efficiency in Porous Media Based on Ansys
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Bibliographic record
Abstract
To help advance the development of heat dissipation technologies, the research studies the effect of pore diameter on heat conduction within porous media. With the help of Ansys software, a cuboid with varying pore sizes is modelled to investigate its influence on effective thermal conductivity. Through analysing the data exported, an overall trend is derived: for a fixed number of nodes in a piece of porous material, the efficiency of heat conduction tends to be higher with the increase of pore sizes. The study is especially relevant for the design of radiators with porous plates, commonly used in cooling systems. Larger pores tend to facilitate more gas-phase conduction, which, when combined with solid-phase conduction, optimizes overall thermal conductivity. The results of the study can potentially advance the development of heat dissipation technologies.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it