Upgrading the Fe Grade of Magnetite Concentrate Using a MagneticHydro-Sizer
Bibliographic record
Abstract
In this study, a magnetic hydro-sizer was used to upgrade the final Fe concentration grade of a magnetite ore.The impact of the magnetic field intensity and water flow rate on the concentration grade were investigated.The chemical composition, mineralogical phases and surface topography of the feed to the hydro-sizer were analysed using XRF, XRD and SEM respectively.The results revealed that the feed to the magnetic hydro-sizer contained 61.25% Fe.Major phases in the feed are magnetite, hongquiite, calcium magnesium catena-silicate and quartz.SEM results showed that the sample was well liberated.A concentrate containing 63.9% Fe was produced whilst operating at particle size distribution of 80% passing 180 µm, water flow rate of 290m 3 /hr and a magnetic intensity of 1350gauss.The higher the magnetic intensity, the lower the Fe grade of the concentrate.The higher the water flow rate, the higher the Fe grade of the concentrate.For a magnetic hydro-sizer, operating field should be between 1200 and 1350 gauss and a water flow rate above 260m3/hr for the final concentration of magnetite.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".