Hydrogel-coated structured packing for water separation from oily liquid streams
Bibliographic record
Abstract
This work presents an innovative water separation process using a packed modular bed to remove water from oily streams. This method involves filling the beds with structured packings created through additive manufacturing and coated with poly(acrylamide-co-sodium acrylate) hydrogels. The treatment was evaluated for water removal from naphthenic insulating oil (NIO) and marine diesel oil (MDO) streams. The hydrogel-coated structured packing was able to remove more than 90 % of the water from the oils and reduced their turbidity, going from a cloudy appearance to a clearer and brighter one. In industrial scenarios where water contamination occurs, the presence of hydrogel-coated packing allows for rapid water separation, offering significant advantages for industrial applications. The ease of oil percolation through hydrogel-filled beds makes this system attractive for a wide spectrum of applications, from industrial scales to deployment at refueling stations or as filters on board motor vehicles.
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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".