Numerical Analysis of Mixing Performance of a Novel ‘Y-U’ Split and Recombine Micromixer
Bibliographic record
Abstract
This work presents a design of a new micromixer named 'Y-U' based on the split and recombine (SAR) principle.Five mixers are constructed varying a parameter, vertical cylindrical connector height H (Y-UH), starting from 0 mm to 0.8 mm.Numerical analysis is carried out at Reynolds numbers ranging from 1 to 50 using FLUENT 15 for the purpose of optimization.A well-known SAR mixer, namely 'H' is also studied in order to validate the numerical model.Proposed Y-U mixers offer better mixing performance than H mixer regardless of Reynolds numbers.The Y-U mixers show more than 90% efficiency at low Reynolds numbers (𝑅𝑒 ≤ 1) and efficiency is about 60% for Reynolds numbers from 10 to 50.Mixing efficiency depends on the vertical cylindrical connector height (H); efficiency and pressure drop increases with the increase of vertical cylindrical height.Y-U0.8 mm (H = 0.8 mm) shows better maximum efficiency compare to all examined mixers.In addition, the mixing cost is independent of vertical cylindrical height.
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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) | 0.000 | 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) | 0.001 | 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".