Pyrrhotite depression studies with DETA and SMBS on a Ni‐Cu sulphide ore
Bibliographic record
Abstract
Abstract Pyrrhotite (Po) is a common gangue mineral in Ni‐Cu sulphide ores (pentlandite {Pn}‐chalcopyrite {Cp}) and can be difficult to reject under certain circumstances. This paper summarizes the results of a lab‐scale flotation study on a reactive ore with a high Po/Pn ratio (7.5), 42 % hexagonal Po content (of total Po), and 85.9 % Ni deportment in Pn (remainder Ni largely reporting to Po), making Po rejection challenging and Ni recovery/grade targets difficult to obtain. The main objective was to assess whether the ore could be processed “as received” to achieve high Pn recovery (>85 %) while ensuring low Po recovery (<20 %), which will typically yield acceptable final concentrate grades after cleaning stages. Baseline testing showed Po depression was difficult by conventional means and required depressants. The test work was centered around the use of DETA (diethylenetriamine) for its proven effectiveness for Po depression (used with sodium metabisulphite (SMBS)). Several strategies were tested: DETA alone; DETA/SMBS; sulphuric acid/DETA/SMBS with/without aeration; and DETA/SMBS with concentrate regrind. The DETA was found to be effective as a Po depressant (both hexagonal and monoclinic Po) on this challenging ore. Overall, the DETA/SMBS with concentrate regrind exhibited the best results (∼11 % Po recovery at ∼85 % Pn recovery) and was found to be sufficient in achieving the outlined targets.
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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".