Performance Evaluation of Liquid Mixing in a T-Junction Passive Micromixer with a Twisted Tape Insert
Bibliographic record
Abstract
An innovative passive mixing enhancement method by using a T-junction micromixer with twisted tape is proposed and evaluated. A three-dimensional model is developed and validated by considering the single-phase mixing of the laminar Newtonian miscible fluid. Several key parameters are evaluated, namely, the inlet Reynolds number, twisted tape width, nature of the twisted tape (solid and porous), and permeability of the porous tape. Mixing index, pressure drop, and performance index, defined as the ratio of mixing enhancement over the ratio of friction factor, are compared. The results suggest that adding twisted tape can enhance the mixing index by almost twice at the cost of a higher pressure drop. Porous tape with the permeability of 10–10 m2 is found to have the best performance at low to medium Reynolds numbers, while solid twisted tape improves the performance at a higher Reynolds number. The proposed method can be used to enhance mass transfer for micromixers in chemical processes and pharmaceutical applications.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".