Heat Transfer in Gas-Liquid Taylor Flow in Mini-Scale Coiled Tubes
Bibliographic record
Abstract
This paper focuses on heat transfer in gas-liquid Taylor flows in mini-scale coiled tubes. An experimental study is conducted to investigate the effects of liquid slug ratio, radius of curvature, and Prandtl number. Previously, the conducted studies on Taylor flows in straight tubes revealed that heat transfer rates are related to the flow segmentation ratio. Single-phase flows show a higher heat transfer rate in the coiled tubes. In the present study, an experimental setup is assembled using open loop of mini-scale coiled tubes subjected to a constant wall temperature. The Taylor flow data are carefully collected using 0.65, 1 and 3 cSt silicone oils and segmented by gas phase at 0.5 liquid fraction. Three coils of radii, 10, 20, and 40 mm are formed to demonstrate the effect of the secondary flows on the heat transfer rates. The results are presented in the dimensionless forms of the Nusselt number. A new model is proposed to predict Nusselt number of the gas-liquid Taylor flow in coiled tubes. This achievement presents a significant insight on the heat transfer in mini/micro scale channels.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".