Investigation of Variable Cross-Sectional Flow Area for an Enhanced Thermo-Hydraulic Performance in Microchannels
Bibliographic record
Abstract
The effect of variable cross-sectional flow area owing to the change in protrusion height along the flow direction, on the thermo-hydraulic performance was studied experimentally.A steady-state study that utilised single-phase water as the working fluid was conducted for Reynolds number range between 1100 and 4400, with a constant heat input of 1000 W along the microchannel length of 30 mm.Two microchannel configurations, namely (a) contracted cross-sectional flow area and (b) expanded cross-sectional flow area, were investigated together with a plain microchannel to evaluate the thermo-hydraulic performance.The average hydraulic diameters of the annular microchannels are kept constant at 600 µm for both configurations.The microchannel with an expanded cross-sectional flow area yielded the highest Nusselt number of 49.6 at Reynolds number of 4377.The same microchannel achieved the highest thermo-hydraulic performance index of 1.59 at Reynolds number of 1974, using the plain microchannel as the reference.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".