Numerical Simulation of Innovative Air Capture Systems Based On Bladeless Technology
Bibliographic record
Abstract
This work focuses on the feasibility study of a new suction hood model that allows the complete disposal of the fumes produced during cooking. The originality of this study lies in the conception of a new functional geometry meant to reduce consumption, focusing on the increase of both efficiency and aspiration efficiency. The new technology is based on the Coand effect applied on two innovative air capture systems of hood model. On one hand the air flow amplifier, a system that, starting from a low inlet flow rate, allows 10 times increasing of the output flow rate. On the other hand, the bladeless fan, which is usually implemented in newest bladeless ventilation systems. A simulation campaign has been conducted with COMSOL Multiphysics software to validate the simulation scenarios comparing the experimental results with respective references. For the post-validation step, the parametric sweep function has been used to study the system behaviours to every change of velocity, flow rate and extension of the ejector. The obtained results show the feasibility of these new suction systems, which present lower consumptions than other modern ventilation systems for kitchens. The computed results show that the perimeter velocity is in accordance with European standards. The perimeter velocity for air flow amplifier geometry allows a suction capacity range between 460 m 3 /h and 3600 m 3 /h. In the bladeless fan case, the suction capacity is in a range between 325 m 3 /h and 2500 m 3 /h. Therefore, the two geometries can be installed for both domestic and commercial kitchens.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".