Impact of the Self-Adaptive Valve Behavior on an Array of Microfluidic Cells under Unsteady and Non-Uniform Heat Load Distributions
Bibliographic record
Abstract
Previous studies have demonstrated that the performance of a cooling scheme based on a matrix of microfluidic cells with self-adaptive valves under unsteady and non-uniform heat load scenarios improves in terms of pumping power and temperature uniformity, compared to the ones from conventional microchannels and hybrid jet impingement/microchannel cooling devices. The behavior of the thermally dependent self-adaptive valves varies as a function of some design parameters. In this work, the impact of the valve's characteristic curve on the cooling device is assessed to establish the basic rules for the valve design. The performance of a 33 microfluidic cell array is numerically studied under an unsteady and non-uniform heat load scenario. The results show that the valves which open at the most elevated temperature (control temperature of 90C) reduce by 15.5% the pumping power with respect to the valves opening at 60C, while improving by 25.0% the temperature uniformity and reducing both the overcooling and the fatigue.
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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) | 0.000 | 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 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".