3D modeling and effect of structural parameters on adsorption onto honeycomb zeolite
Bibliographic record
Abstract
Monolithic adsorbents have the ability to treat high flowrate gas streams at relatively low pressure drop compared to packed bed adsorbents. In the present study, a three-dimensional adsorption model was developed to predict the effect of monolith structural characteristics on adsorption of volatile organic compounds (VOCs). The model uses the physical properties of the honeycomb adsorbent and the linear driving force (LDF) equation to simulate gas adsorption kinetics on the adsorbent. The effect of channel shape (square, triangular, and hexagonal), channel size, wall thickness, and adsorbent length was investigated in an effort to enhance the adsorption performance of monolithic adsorbent. The model shows that the channel shape, channel size and wall thickness have important effects on the adsorption performance of the monolith. As the channel size is reduced or the wall thickness is increased, the adsorbent mass increases at a constant length and volume of the adsorber, whereas the radial velocity gradient becomes greater resulting in earlier breakthrough. By varying the length of the monolith, it was demonstrated that there is a minimum length to adsorb a specific concentration of a VOC for a particular duration. The developed model can be used for optimizing the design of monolith adsorbent beds for gas adsorption processes.
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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".