Effect of oil film formed by collectors on the attachment/detachment between bubbles and low-rank coal
Bibliographic record
Abstract
The addition of collectors enhances bubble–particle adhesion, thereby strengthening flotation. However, in low-rank coal (LRC) flotation, limited studies have examined how attachment and detachment behaviors vary when equal volumes of collectors are applied to either bubbles or particles. In this work, the mechanical properties of bubble–particle attachment and detachment were investigated using n-octane, octanoic acid, and their mixtures (MC) as collectors, spread separately on bubble and LRC surfaces under equal-volume conditions. Results showed that the induction time for oil bubbles was up to 15 ms shorter than that of air bubbles, indicating that spreading the oil film on the bubble surface significantly accelerates attachment. Both detachment force and displacement of oil bubbles exceeded those of air bubbles, with MC (8:2) producing the highest detachment displacement of 1.5335 mm. In addition, oil bubbles exhibited a larger critical contact-line length during detachment, reaching 1.747 mm, suggesting that oil films on bubble surfaces enable greater deformation and a more stable gas–solid interface. The detachment force followed the order MC (8:2) > MC (9:1) > MC (7:3) > MC (6:4) > MC (1:1) > octanoic acid > n-octane. These findings provide new mechanistic insights into collector-distribution-dependent attachment and detachment behaviors in LRC flotation.
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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 | 0.000 | 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".