Study on flocculation mechanism of tailings slurry in ferric chloride solution
Bibliographic record
Abstract
The presence of a significant quantity of clay colloids in the tailings slurry results in an unusually sluggish consolidation process under self-weight. Therefore, containment within an artificial dam is necessary for the tailing slurry, posing a substantial hazard. It is imperative to reconsider the methods of disposing of tailing slurry due to the intricate physicochemical interactions and charged surfaces exhibited by clay colloids upon contact with water. To elucidate the mechanism of soil–water interaction in tailings slurry, a comprehensive set of macroscopic and microscopic experiments was conducted. The results from sedimentation experiments on tailings in the presence of ferric chloride at different concentrations indicate that as the concentration increases, both the initial settling rate and void ratio decrease continuously after sedimentation stabilization, accompanied by a decrease in absolute zeta potential. This phenomenon can be attributed to decreasing solution pH and increasing Fe3+ concentration with higher solution concentration, resulting in positive charges on clay particles’ edge charges. Under Fe3+ influence, double-layer thickness decreases, while electrostatic forces between particles weaken. Consequently, sedimentation transitions from face-to-edge to face-to-face configuration occur, reducing aggregation diameter and porosity, which subsequently lowers both sedimentation rate and stable sedimentation porosity of the tailings slurry.
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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".