Electrokinetic Dewatering of Mine Tailings Using DSA Electrodes
Bibliographic record
Abstract
Electrokinetic dewatering has been shown to be a promising technology; however, one of the challenges in its practical application is the corrosion of anodes. Recently, dimensionally stable anodes (DSAs) were developed that are virtually corrosion free. This paper investigates the feasibility of using titanium anodes with iridium oxide coating (IrO2/Ta2O5) in the electrokinetic dewatering of mine tailings slurries. Characterization of the tailings is presented, followed by the results of electrokinetic dewatering, including the gradually increased and decreased voltages applied during the treatment, polarity reversal, and surcharge pressure applied to tailings. The results show that electrokinetic treatment using DSAs can significantly dewater tailings with low density and minimize electrode corrosion. The electroosmotic permeability measured for the combination of voltages and surcharge pressures ranges from 6.39 × 10-9 m /sV to 5.30 × 10-8 m/sV. The results also show that the effectiveness and efficiency of the electrokinetic dewatering of tailings can be improved by first applying a high voltage and then reducing it gradually during treatment.
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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 | 0.001 |
| 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".