Effect of aerodynamic disturbances on particle detachment from fibrous filters in an air disinfection system
Bibliographic record
Abstract
Improper HVAC design can facilitate airborne pathogen spread in indoor environments. This study investigates particle release from fibrous filters in a heat-based filter disinfection system, where upstream and downstream mechanical gates regulate airflow and isolate disinfection units during operation. Gate movement induces aerodynamic disturbances capable of dislodging trapped particles. Experimental and numerical analyses were conducted to evaluate the influence of gate rotation speed on flow dynamics and particle release. Experiments with shock, 2-second, and 10-second gate rotations quantified released particles by measuring filter weight differences before and after gate movements, while CFD simulations examined transient air velocity, acceleration, and turbulent kinetic energy (TKE) on the filter surface. Results showed that rapid gate movement significantly increases particle detachment. The gate motion with a shock caused about 5.9% release, whereas a 10-second rotation yielded 10 times lower particle release compared to the shock case. Simulations confirmed that longer gate durations minimize flow acceleration and TKE growth, indicating that abrupt transient flow changes promote particle release from loaded filters. • Gate movement can create vortices and increase turbulence in the disinfection unit. • Filter weight loss confirms particle release from the filters due to aerodynamic effects. • Gate movement with a shock released 5.9% of particles entrapped with the filter. • The 10-second gate rotation cuts turbulence growth by 78% versus the 2-second case. • Slower gate rotation lowers particle release by reducing flow disturbances.
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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 | 0.000 | 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) | 0.000 | 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".