Experiments of Ethylene Glycol-water Mixture in Multi-port Circular Straight Microchannel Slab
Bibliographic record
Abstract
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. 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.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".