Experimental Study on Removal of Emulsified Oil by Electrocoagulation with a Rotating Container
Bibliographic record
Abstract
Electrocoagulation (EC) was proved to be highly effective to remove the oil from oily sewage in an oilfield. However, much work still needs to be done to improve the oil removal performance and to reduce the energy consumption of the EC device. In this text, a rotating container method was employed for the purpose of strengthening the mass transfer process in the EC device. Firstly, the effect of different rotation rates and APEs on the oil removal process was determined, showing that the rotation of the container decreases the effect of EC on oil removal. Then, the effect of the current density on oil removal was investigated, showing that the oil removal efficiency rises with increasing current density. Lastly, the effect of the rotation rate on the appearance time of flotation was investigated, showing that the rotation of the container slows down the formation of floating floc, resulting in a lower oil removal efficiency.
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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 | 0.001 | 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".