Oxygen mass transfer into flotation slurries—Part 1: effect of mild steel corrosion during grinding of quartz
Bibliographic record
Abstract
Under ordinary conditions of milling the consumption of oxygen by the grinding media relative to its consumption by a massive sulphide ore is not known. To help to distinguish between the two oxygen mass transfer into flotation slurries has been investigated under various conditions. Aeration studies were conducted on a quartz slurry following its grinding in a mild-steel mill in the absence and presence of sodium chromate as a corrosion inhibitor. During these studies such variables as the oxygen concentration, pH and pulp potential were monitored as a function of time by means of a customized data-acquisition system. A systematic increase in the amount of iron-bearing deposition on quartz particles was observed with increasing grinding time, which was accompanied by a decrease in pulp potential. The oxygen mass-transfer coefficient showed an exponential decrease from a value of 7.5 s-1 (in tap water) to about 0.11 s-1 (in slurry) with increasing fineness of quartz ground in the absence of sodium chromate. This trend appears to be completely reversible through the use of sodium chromate in grinding, the coefficient attaining a value that can be even greater than its original value prior to any grinding. The variations of pH and pulp potentials are discussed in relation to certain electrochemical and hydrolysis reactions relevant to the current system. An Eh-pH diagram constructed using specific experimental conditions indicates formation of an iron chromate as the main product of corrosion inhibition.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".