Turbulent Adsorption of VOC in Zeolite Doped Metal Foam
Bibliographic record
Abstract
The flow through random cellular structures can lead to efficient mixing to increase system efficiency. Especially, the adsorption process through filtration is greatly influenced by the physical shape of the cellular structures In this paper, mass transfer due to structural complexity in metal foam structure is evaluated through VOCs removal rate measurement. VOCs refer to liquids or gases containing organic carbon, and generally have a characteristic of being a pollutant that diffuses very quickly. Most of the VOCs are often generated from small nonpoint pollution sources such as automobile exhaust gas and overall occurrence in factory plants Zeolite is microporous with uniform and small pores, is adsorbed by type according to pore size, has ion exchange, and high heat resistance In general, when coating the surface of complex structures such as porous media, a coating method by dipping is used. However, when the zeolite used in this study is coated with the dipping method, the organic solvent fills the micro-pores of the zeolite and reducing the adsorption power. Therefore, in this study, a new zeolite coating method using graphene ink was used to prevent the decrease in adsorption power.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".