Entropy generation of droplet motion with surface tension hysteresis in a closed microchannel
Bibliographic record
Abstract
A transient heat transfer and entropy analysis is conducted to investigate the processes of thermocapillary droplet motion in closed microchannels. Both theoretical predictions and experimental data are presented for time-dependent temperature changes during the droplet acceleration. This paper develops a predictive model of the entropy production due to thermal and fluid irreversibilities in the microchannel. Thermocapillary, pressure and friction forces are modelled within the droplet, as well as surface tension hysteresis during start-up of the droplet motion. The spatial temperature change in the axial direction is measured experimentally, as well as the displacement of the droplet over time. The variation of the entropy generation number is reported for open and closed channels. Close agreement is obtained between the predicted and experimental data. The results show that water droplets have lower thermal and fluid irreversibilities than toluene and mineral oil.
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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".