Experimental approach to study friction factor and temperature profiles of fluid flow in circular microchannels
Bibliographic record
Abstract
Heat dissipation in electronic components becomes an important issue in efficiency promotion and stable operation. Microchannel heat exchanger plays the major role for heat dissipation from such high heat generating electronic components. In this connection an experimental investigation was conducted to explore the validity of classical correlations of friction factor based on conventional sized channels for predicting the fluid behavior in single-phase water flow through circular microchannels. The microchannels under investigation have the hydraulic diameter of 279 μm and 45 mm long. Test piece was made of stainless steel and the test section contained a total of seventy nine microchannels arranged in circumferential manner. The experiments were conducted with deionized water of Reynolds number ranging from approximately 300 to 3000. Pressure drop and flow rates were measured to analyze the flow characteristics. The results show good agreement between the classical correlations of friction factor and the experimentally measured data. The temperature profiles along as well as across the channels shows that channel length and channel diameter play the major role on its behavior. Key words: Microchannels, friction factor, temperature profiles.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".