Experiments of Ethylene Glycol-water Mixture in Multi-port Circular Straight Microchannel Slab
Bibliographic record
Abstract
<div class="section abstract"><div class="htmlview paragraph">Microchannels (diameter of 1 mm or less) have received significant research attention nowadays due to their high heat transfer and space saving capability compared to the conventional sized tubes for a given heat duty. Use of microchannel core can make an automotive heat exchanger further light-weighted and down-sized while keeping the heat duty similar or even higher as compared to the traditional compact heat exchangers. Automotive engine generally uses heat exchange process in air-glycol crossflow orientation for its cooling system. Research and thermo-hydrodynamic design correlations and sufficient experimental data on single-phase pressure drop and heat transfer using multi-port microchannel slab in air-to-glycol crossflow orientation is rare in the open literature. The availability of a well instrumented dynamic test facility, i.e. both fluids are in motion, for such research is also limited.</div> <div class="htmlview paragraph">In ongoing long-term research, a well equipped dynamic real-life single-phase air-to-liquid crossflow fluid flow and heat transfer experimental facility has been developed and commissioned. The test bench and its instrumentation could handle the experiments of water; ethylene glycol; and engine, transmission, and other oils in a variety of microchannel geometry and operating conditions. In the ongoing series, experiments have been conducted to obtain the general data on the hydrodynamic characteristics of 50% ethylene glycol-water mixture in multi-port straight microchannel test slab. The paper presents the pressure drop behavior of ethylene glycol-water mixture and the Reynolds number effects on the pressure drop, friction factor and Poiseuille number in the classical laminar flow regime.</div></div>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".