Lattice Boltzmann simulation of conjugate forced convection in a channel heat sink with surface-mounted blocks
Bibliographic record
Abstract
The study of the conjugate forced convection in a channel has many practical applications and has attracted attention from researchers, although the conjugate heat transfer in this configuration is usually ignored. In this paper, the conjugate forced convection heat transfer in a channel heat sink with surface-mounted blocks is numerically studied with the lattice Boltzmann method. The effects of Reynolds numbers and geometrical parameters of the blocks in different aspect ratios on the flow field and temperature distribution for various thermal conductivity ratio of solid wall to the fluid are analyzed. The results reveal that the distributions of the vortices and streamlines in the channel heat sink largely depend on the geometric parameters, and the increase of the distance between two mounted blocks tends to cause the pressure drop to increase and the average Nusselt number decreases. In addition, we found that a modification of the thermal conductivity ratio of solid to fluid has little effect on the pressure drop, whereas the heat transfer performance becomes much better.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".